Note: Title Page -- Preface -- Organizing Committee -- Contents -- Invited Talks -- User-Centric Models of Temporal and Spatiotemporal Data: A Perspective of Granular Computing -- Intelligent Social Network Modeling -- What Is Your Software Worth? -- Personalized Recommender Systems for e-Government and e-Business Intelligence -- Part I: Artificial Intelligence -- Efficient Closed Iterative Patterns Mining Algorithm via Prime-Block Encoding -- Introduction -- Related Works -- Problems Statement -- Basic Definitions and Concepts -- Semantic of Iterative Patterns -- Apriori Property and Closed Pattern -- Pruning Strategies -- Algorithm -- Generation Frequent Pattern -- Judgment Closed Pattern -- Pruning Searching Place -- Description of Algorithm -- Experimental Evaluations -- Conclusions -- References -- Pool-Based Active Learning with Query Construction -- Introduction -- Pool-Based Active Learning -- Pool-Based Active Learning with Query Construction -- Select Representative Data from Pool -- Construct Representative Data of Original Pool -- Algorithm Design -- Experiment -- Experiment Setting and Data Sets -- Experimental Results -- Conclusions -- References -- The Research of Soft Measurement Method Based on Sintering Process Permeability Index -- Introduction -- The Soft Measurement Based on Neural Network Modeling -- Soft Sensor Modeling Based on Fuzzy Reasoning -- A Soft Sensor Modeling Based on Fuzzy Neural Network -- Three Soft Measurement Method Comparison -- References -- A Neighborhood Preserving Based Semi-supervised Dimensionality Reduction Method for Cancer Classification -- Introduction -- Related Work -- Locally Linear Embedding -- NPSSDR -- Experimental Results -- Results on Different Target Dimensionalities -- Results on Different Number of Constraints -- Conclusions and Future Work -- References. , A Layered Model of Artificial Emotion Merging with Attitude -- Introduction -- Construction of AME Model -- Construction of Attitude Layer -- Construction of Mood Layer -- Construction of Emotion Layer -- Reciprocity of Layers -- Experiments and Analysis -- Introduction of Experiment Platform -- Experiment Design -- Experiment Results and Analysis -- Conclusions -- References -- Fast Extraction Strategy of Support Vector Machines -- Introduction -- Support Vector Machine -- The Selection of Support Vectors -- Cluster Center Identification -- Divide Samples into Groups -- Select Candidate Support Vectors by Nearest Neighbor Strategy -- Numerical Experiment and Key Result -- Conclusions and Future Work -- References -- A Local Feature Selection Approach for Clustering -- Motivation and Preliminary -- Survey of Clustering and Feature Selection Approaches -- Clustering Algorithms for Unsupervised Learning -- Wrapper Approaches for Feature Selection -- Proposed Local Feature Selection in Unsupervised Learning -- FMM with Local Feature Saliency -- Local Feature Saliency Estimation by EM Algorithm -- Proposed Approach for Redundant Feature Removal -- Experimental Results -- Summary -- References -- Semantics-Preserving Fusion of Structures of Probabilistic Graphical Models -- Introduction -- Preliminary -- Fusing DAGs of BNs -- Fusing Equivalent Common Subgraphs -- Fusing Inequivalent Common Subgraphs -- Fusing DAGs of BNs -- Conclusions and Future Work -- References -- A Hybrid Genetic Algorithm for Scheduling and Selecting a Project Portfolio -- Introduction -- Problem Definition -- Problem Statement -- Proposed Model -- Genetic Algorithm -- Direct Representation -- Initialization and Sorting -- Genetic Operators -- Computational Results -- Generating Problem Instances -- Parameters' Design -- Performance Evaluation of Proposed GA -- Conclusion. , References -- Tibetan Processing Key Technology Research for Smart Mobile Phone Based on Symbian -- Introduction -- Symbian and Its Input/Output Technology -- Symbian -- Symbian Input Interface -- Implementation of Symbian Tibetan Input/Output -- Implementation Principle -- Input State Transition Diagram Is Shown in Figure 2 -- Coding Scheme -- Keyboard Layout -- Font -- Instance of Input Method Application -- Conclusion -- References -- PCNN Automatic Parameters Determination in Image Segmentation Based on the Analysis of Neuron Firing Time -- Introduction -- Characteristics Analysis of the PCNN Model -- The PCNN Mathematical Model -- Analysis of the Neuron Firing Mechanism -- Parameter Determination of the PCNN -- Experimental Simulation and Analysis -- Conclusions -- References -- Messy Genetic Algorithm for the Optimum Solution Search of the HTN Planning -- Introduction -- Related Works -- Problem Formation and the Basic Model -- MGA For Optimum Solution Search of HTN -- Simulation Experiments -- Conclusions -- References -- Research on Rule-Based Reasoning Methods Oriented on Information Resource Ontology -- Introduction -- Background and Description of the Problem -- Reasoning Algorithms in the Semantic Search -- Initial Query of the Ontology and Ontology Smallest Connected Subgraph Generation -- The Establishment of Rules -- Rule-Based Reasoning -- Application of Rule-Based Reasoning in a Retrieval System -- Time Complexity Analysis -- Experimental Results -- Conclusion -- References -- Generating Descriptions of Incomplete City-Traffic States with Agents -- Introduction -- Current Approaches and Application Scenario -- Application Scenario -- Local Summaries -- Grounding of Modal Statements -- Relation of Epistemic Satisfaction -- Example -- Aggregation -- Summary -- References. , Target Factor Algorithm of PSC Ship-Selecting System Based on Rough Set Theory and Hierarchic Analysis -- Introduction -- Data Reduction Based on Rough Set Theory and Hierarchic Analysis -- The Application of Data Reduction Based on Rough Set Theory and Hierarchic Analysis in PSC Ship-Selecting System -- Conclusion -- References -- Route Planning Based on Combination of Artificial Immune Algorithm and Ant Colony Algorithm -- Introduction -- Problem of Route Planning -- Generate the Best Group of Routes by AIA -- Artificial Immune Al gorithm and Related Concepts -- Generate the Best Group of Routes by AIA -- Ant Colony Algorithm -- Experiment and Discuss -- Parameter and Experimental Result -- Discuss -- Conclusion -- References -- Hyperspectral Image Classification Using Support Vector Machines with an Efficient Principal Component Analysis Scheme -- Introduction -- Hyperspectral Image Classification and Mapping -- Principal Component Analysis -- Support Vector Machine -- An Efficient PCA Scheme -- A Numerical Example on an EO-1 Hyperion Image -- Concluding Remarks -- References -- A Practicable Heuristic Attributes Reduction Algorithm for Ordered Information Systems -- Introduction -- Fundamental Theories -- Information Granularity and Attribute Importance -- An Attribute Reduction Algorithm -- Experiments -- Analysis of Experiment -- Conclusions -- References -- An Improved Abrams-Strogatz Model Based Protocol for Agent Competition and Strategy Designing -- Introduction -- The Abrams Strogatz Model -- The Posteriori Status Evaluation Strategy Designing Protocol -- Experiment Results -- Conclusions and Further Work -- References -- α-Quasi-Lock Semantic Resolution Method for Linguistic Truth-Valued Lattice-Valued Propositional Logic LV(n×2)P(X) -- Introduction -- Preliminaries -- Lattice Implication Algebra. , Lattice-Valued Propositional Logic LP(X) -- α-Quasi-Lock Semantic Resolution Method in LV(n×2)P(X) -- (ci, t)-Quasi-Lock Semantic Resolution Method in LV(n×2)P(X) -- (ci, f )-Quasi-Lock Semantic Resolution Method in LV(n×2)P(X) -- Conclusion -- References -- A Real-Time Software GPS Receiver Based on MAX2769 -- Introduction -- GPS Signal -- RF Front End Architecture -- Signal Acquisition -- Tracking Refines Alignment -- Positioning Decoding -- Conclusion -- References -- Duality in Lattice Implication Algebra -- Introduction -- Preliminaries -- Principle of Duality in LIA -- Dual Operators in LIA -- Principle of Duality in LIA -- Application of Principle of Duality in LIA -- Enriching Concepts -- Enriching Theorems -- Conclusion -- References -- Kernel Construction via Generalized Eigenvector Decomposition -- Introduction -- Notations and Preliminaries -- Kernel Construction -- Experimental Results and Analysis -- Conclusion -- References -- Probabilistic Model Combination for Support Vector Machine Using Positive-Definite Kernel-Based Regularization Path -- Introduction -- Preliminaries -- PDSVMP Algorithm -- Model Combination for Support Vector Machine -- Initial Model Set -- Combination of Support Vector Machine Probabilistic Models -- Experiments -- Conclusions and Further Research -- References -- The Relationship of Filters in Lattice Implication Algebra -- Introduction -- Preliminaries -- The Relationship of Filters in Lattice Implication Algebra -- Filter Lattice -- References -- Effects of Vision Field on Evolution of Cooperation among Mobile Agents -- Introduction -- The Model -- Results and Discussion -- Conclusion -- References -- Deviating from Common Context in Individual Semiosis in Multi-Agent Systems -- Introduction -- Individual Semiosis and the Naming Game -- Model -- Learner Agent and Teacher Agent -- Simulation. , Analysis and Discussion.

Note: Intro -- Preface -- Contents -- 1 Possible-Degree Generalized Hesitant Fuzzy Set and Its Application in MADM -- Abstract -- 1…Introduction -- 2…Possible-Degree Generalized Hesitant Fuzzy Sets -- 3…Aggregation Operators About the P-DGHFSs -- 4…Application of the P-DGHFSs to MADM -- 5…Conclusions -- Acknowledgments -- References -- 2 Resource Allocation for Multiple Cloud Workflows Under Execution Time Uncertainty -- Abstract -- 1…Introduction -- 2…Problem Formulation -- 3…Scheduling Policies -- 4…Stability Problem -- 5…Experimental Results -- 6…Conclusion -- Acknowledgments -- References -- 3 An Improved Parallel Method for Computing Rough Set Approximations -- Abstract -- 1…Introduction -- 2…Preliminaries -- 3…An Improved Parallel Approach for Computing Rough Set Approximations -- 4…An Illustrative Example -- 5…Conclusion -- Acknowledgments -- References -- 4 Comparisons Among alpha -Generalized Resolution Methods in {\bcal{L}}_{\bi n\times \bf2}F(X) -- Abstract -- 1…Introduction -- 2…Algorithms of Three alpha -Generalized Resolution Methods -- 3…Comparisons Among alpha -Generalized Resolution Methods -- 3.1 Validity -- 3.2 Complexity -- 3.3 Practicability -- 4…Conclusion -- Acknowledgments -- References -- 5 Texture Smoothing Based on Adaptive Total Variation -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Method -- 3.1 Important Concepts -- 3.2 Optimization Procedure -- 3.3 Numerical Solution -- 4…Result -- 5…Conclusion -- Acknowledgment -- References -- 6 Hybrid Nested Partitions Method for the Traveling Salesman Problem -- Abstract -- 1…Introduction -- 2…Nested Partitions Method for Solving the TSP -- 2.1 TSP Description -- 2.2 Procedure of Nested Partitions Method for Solving the TSP -- 3…Improvement of Nested Partitions Method -- 3.1 Hybrid Nested Partitions Method -- 3.2 Search the Optimal Tour of Subregion Using 3-Opt Algorithm. , 3.3 Search the Optimal Tour of Surrounding Region Using Improved Lin--Kernighan Algorithm -- 3.3.1 Lin--Kernighan algorithm -- 3.3.2 Improvement of the Lin--Kernighan Algorithm -- 3.3.3 Search the Optimal Tour of Surrounding Region Using Improved Lin--Kernighan Algorithm -- 4…Experimental Results -- 5…Conclusions -- Acknowledgments -- References -- 7 Motion Estimation Based on Patchwise-Optimized Optical Flow -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Method -- 3.1 Optical Flow Variational Model -- 3.2 Numerical Solution -- 3.3 Approximation -- 4…Results -- 5…Conclusion -- Acknowledgments -- References -- 8 Release 'Bag-of-Words' Assumption of Latent Dirichlet Allocation -- Abstract -- 1…Introduction -- 2…Basic Concepts and Notations -- 2.1 Vector-Based Document Representation -- 2.2 Graph-Based Document Representation -- 3…Topic Model for Graph-Represented Documents -- 3.1 Model Description -- 3.2 Inference and Parameter Estimation -- 4…Experiments -- 5…Conclusions and Further Study -- Acknowledgments -- References -- 9 Application of Empirical Mode Decomposition and Fuzzy Entropy to High-Speed Rail Fault Diagnosis -- Abstract -- 1…Introduction -- 2…Methodology -- 2.1 Empirical Mode Decomposition -- 2.2 Fuzzy Entropy -- 3…Fault Detection of High-Speed Rail -- 4…Experiment -- 4.1 Parameter Setting in Fuzzy Entropy -- 4.2 Experimental Results and Analysis -- 5…Conclusion -- Acknowledgments -- References -- 10 Robust Face Recognition with Individual and Group Sparsity Constraints -- Abstract -- 1…Introduction -- 2…Classification via Individual Sparsity -- 3…Classification via Group Sparsity -- 4…Classification via Individual and Group Sparsity -- 5…Results and Discussion -- 5.1 Recognition Rate of Various Algorithms -- 5.2 Sparsity of Various Algorithms -- 6…Conclusions -- Acknowledgments -- References. , 11 Graph-Based Semi-supervised Feature Selection for Social Media Data -- Abstract -- 1…Introduction -- 2…Problem Statement -- 3…Graph-Based Semi-supervised Feature Selection -- 3.1 Graph Construction -- 3.2 Graph-Based Semi-supervised Feature Selection Algorithm -- 4…Experiment -- 5…Conclusions -- Acknowledgments -- References -- 12 Active Learning for Duplicate Record Identification in Deep Web -- Abstract -- 1…Introduction -- 2…Related Work -- 2.1 Duplicate Record Identification -- 2.2 Active Learning -- 3…Problem Description -- 4…Active Learning for Deep Web Records De-duplication -- 4.1 A Combination Sampling Strategy -- 4.2 Automatically Labeled Major Class Samples -- 5…Experiment Evaluation -- 5.1 Experimental Setting -- 5.2 Experimental Results -- 6…Conclusion -- Acknowledgments -- References -- 13 Leaf Recognition Based on BGP Texture Matching -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Method -- 3.1 Preprocessing -- 3.2 Binary Gabor Pattern Extraction -- 3.3 Matching -- 4…Results -- 5…Conclusion -- Acknowledgments -- References -- 14 Fast and Robust Leaf Recognition Based on Rotation Invariant Shape Context -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Method -- 3.1 Preprocessing -- 3.2 Sampling -- 3.3 Rotation Invariant Shape Context -- 3.4 Matching -- 4…Results -- 5…Conclusion -- Acknowledgments -- References -- 15 Action Recognition Based on Maximum Entropy Fuzzy Clustering Algorithm -- Abstract -- 1…Introduction -- 2…Interest Points Detection -- 3…Maximum Entropy Fuzzy Clustering -- 4…Experiment -- 4.1 Evaluation of Weizmann Dataset -- 4.2 Evaluation of UCF Sports Dataset -- 5…Conclusion -- References -- 16 A Multigranularity Surveillance Video Retrieval Algorithm for Human Targets -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Human Segmentation -- 3.1 Skin Color Detection -- 3.2 Head Segmentation. , 4…Object Retrieval -- 5…Result -- 5.1 Human Segmentation -- 5.2 Object Retrieval -- 6…Conclusion -- Acknowledgment -- References -- 17 Image Retrieval Based on Saliency Attention -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Visual Attention Model -- 3.1 Local Contrast Saliency Map -- 3.2 Global Contrast Saliency Map -- 3.3 Rarity Saliency Map -- 3.4 Final Saliency Map -- 3.5 Feature Abstraction Based on Saliency Map -- 3.6 Final Saliency Map -- 3.7 Color Feature -- 3.8 Metric Measure of Feature -- 4…Result -- 5…Conclusion -- Acknowledgment -- References -- 18 A Fuzzy Social Network Analysis Method and a Case Study on Tianya Tourism Forum in China -- Abstract -- 1…Introduction -- 2…Fuzzy Social Network Analysis Method -- 2.1 Basic Concepts of Fuzzy Social Networks -- 2.2 Social Network Centrality and Fuzzy Social Network Centrality -- 3…A Case Study on Tianya Tourism Forum -- 3.1 Data Sources -- 3.2 Node Centrality -- 3.3 Central Potential -- 4…Result Analysis and Conclusions -- Acknowledgment -- References -- 19 Dynamic, Tagless Cache Coherence Architecture in Chip Multiprocessor -- Abstract -- 1…Introduction -- 2…Hybrid Protocol Proposed -- 3…Protocol Implementation -- 3.1 Directory Structure -- 3.2 Protocol Algorithm -- 4…Experimental Results -- 5…Conclusions -- References -- 20 Distributed Computation of Pure High-Order Word Dependence -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Background of Pure Dependence Algorithm Based on Information Geometry -- 4…Distributed Mining Pure High-Order Word Dependence -- 4.1 Distributed Pure Dependence Mining Algorithm -- 5…Experiment and Evaluation -- 5.1 Data Collection and Preprocessing -- 5.2 Efficiency Evaluations -- 5.3 Effectiveness Evaluations -- 6…Conclusion and Future Work -- Acknowledgments -- References. , 21 A Method for UAV Real-Time Image Simulation Based on Hierarchical Degradation Model -- Abstract -- 1…Introduction -- 2…Analysis of Degradation Factors -- 3…Establishment of Degradation Model -- 3.1 Geometric Distortion -- 3.2 Grayscale Distortion -- 3.2.1 Brightness Adjustment -- 3.2.2 Contrast Ratio Adjustment -- 3.3 Blur Defects -- 3.3.1 Motion Blur -- 3.3.2 Defocus Blur -- Disk Defocus Model -- Gaussian Defocus Model -- 3.4 Frequency Spectrum Distortion -- 3.5 Noise -- 3.5.1 Gaussian Noise -- 3.5.2 Salt-and-Pepper Noise -- 4…Simulation Results -- 5…Conclusions and Outlook -- Acknowledgments -- References -- 22 An Improved x-Corners Detection Algorithm on Distorted Images -- Abstract -- 1…Introduction -- 2…x-Corners Detection -- 2.1 Martin Rufli's Algorithm -- 2.2 Improvements to the Algorithm -- 3…Experiments and Result Analysis -- 3.1 Choose the Best Window Size -- 3.2 Comparison Algorithms -- 4…Conclusions -- References -- 23 Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making -- Abstract -- 1…Introduction -- 2…Preliminaries -- 2.1 Group Decision-Making Problems -- 2.2 Consensus Reaching Processes -- 3…Consensus Support System for Large-Scale GDM -- 3.1 Agent-based Semi-supervised Autonomy Approach -- 3.1.1 Change Profiles -- 3.1.2 Supervision Rules -- 3.2 System Architecture -- 3.2.1 Expert Users -- 3.2.2 Administrator User -- 3.3 Application Example -- 4…Concluding Remarks -- Acknowledgment -- References -- 24 Facial Feature Points Tracking with Online Reference Appearance Model -- Abstract -- 1…Introduction -- 2…AAM -- 2.1 Model Learning -- 2.2 Model Fitting -- 3…Face Features Tracking Based on ORAM -- 3.1 Online Reference Appearance Model -- 3.1.1 Model Learning -- 3.1.2 Model Fitting -- 3.2 ORAM Update and Reset -- 3.2.1 Tracking Accuracy Evaluation. , 3.2.2 Appearance Model and Reference Model Update.

Note: Intro -- Preface -- Contents -- 1 Parallel Approaches to Neighborhood Rough Sets: Classification and Feature Selection -- Abstract -- 1…Introduction -- 2…Preliminaries -- 2.1 Neighborhood Rough Sets -- 2.2 MapReduce Model -- 3…Parallel Approaches Based on MapReduce -- 3.1 Parallel Neighborhood Classification -- 3.2 Parallel Neighborhood Feature Selection -- 4…Experimental Analysis -- 4.1 Experimental Environment -- 4.2 A Comparison of Sequential and Parallel Algorithms -- 4.3 Performance Analysis -- 5…Conclusions -- Acknowledgments -- References -- 2 Research on the Intensity of Subjective and Objective Vocabulary in Interactive Text Based on E-Learning -- Abstract -- 1…Introduction -- 2…The Text Subjectivity Judgment Based on Rough Set -- 3…The Subjective Words Extraction Based on E-Learning -- 4…The Identification of Subjective Words in Fuzzy Sets -- 4.1 Membership Function of the Intensity of the Subjective Words -- 4.2 Subjective and Objective Classification Based on Complex Rules -- 5…Experiment and Analysis -- 5.1 Experiment Setting -- 5.2 Experiment Result -- 5.2.1 Effect of View Indicator Words and Sentiment Words on Sentence Subjectivity Identification -- 5.2.2 Distinguish the Effect of Subjective Words' Intensity on Subjective and Objective Recognition of the Sentences -- Acknowledgment -- References -- 3 Geometry Knowledge Base Learning from Theorem Proofs -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Process Ontology Learning -- 3.1 Abstract Model -- 3.2 Instance Model -- 3.3 Process Ontology -- 3.4 GKB on Process Ontology -- 4…Implementation -- 4.1 Construction of Abstract Models and Instance Models -- 4.2 Elementary Geometry Process Ontology -- 4.3 Automated Theorem Proving Based on GKB -- 5…Conclusions -- Acknowledgments -- References. , 4 Return Forecast of Subscription for New Shares in Growth Enterprise Market Using Simulation Method -- Abstract -- 1…Introduction -- 2…Variables and Data -- 3…Simulation and Results -- 3.1 Goodness-of-Fit Test on Variables -- 3.2 Return Forecast of Subscribing for New Shares -- 3.3 The Sensitivity Analysis of the Return -- 4…Analysis of Influencing Factors -- 5…Conclusion -- Acknowledgments -- References -- 5 An Incremental Learning Approach for Updating Approximations in Rough Set Model Over Dual-Universes -- Abstract -- 1…Introduction -- 2…Preliminaries -- 3…An Incremental Method for Updating Approximations of RSMDU -- 3.1 Assumptions and Basic Structure for the Incremental Approach -- 3.2 Addition of one New Object into the Universe U -- 3.3 Deletion of One Object from the Universe U -- 3.4 Addition of One New Object into the Universe V -- 3.5 Deletion of One Object from the Universe V -- 4…An Illustration -- 4.1 A New Object x8 Enters into the Universe U -- 4.2 An Object x4 Gets Out from the Universe U -- 4.3 A New Object y7 Enters into the Universe V -- 4.4 An Object y4 Gets Out from the Universe V -- 5…Conclusions -- Acknowledgments -- References -- 6 Research on Risk Assessment of Ship Repair Based on Case-Based Reasoning -- Abstract -- 1…Introduction -- 2…Overview of Case-Based Reasoning -- 3…Ship Repair Risk Assessment Based on CBR -- 3.1 Case Representation of Repair Risk -- 3.2 CBR Strategy -- 4…Case Analysis -- 5…Conclusion -- References -- 7 A Rule-Based Inference Method Using Dempster--Shafer Theory -- Abstract -- 1…Introduction -- 2…Preliminaries -- 3…Rule Inference -- 4…Example -- 5…Conclusion -- Acknowledgment -- References -- 8 Blog Topic Diffusion Prediction Model Based on Link Information Flow -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Link Information Flow-Based Topic Diffusion Prediction Model. , 3.1 Link View and Content View in Diffusion -- 3.2 Link Information Flow-Based Model -- 4…Experiments and Analysis -- 4.1 Experiment Setup -- 4.2 Experiment Analysis -- 5…Conclusions -- Acknowledgments -- References -- 9 Construction of Multidimensional Dynamic Knowledge Map Based on Knowledge Requirements and Knowledge Connection -- Abstract -- 1…Introduction -- 2…Knowledge Map Construction Model Based on Knowledge Requirement and Connection -- 3…Knowledge Retrieval Expressions Constructed Based on Knowledge Requirements -- 3.1 Knowledge Requirement -- 3.2 Constructing Knowledge Retrieval Expression -- 4…Knowledge Retrieval Based on Multiple Context Similarity -- 5…Multi-dimensional Knowledge Map Construction Based on Knowledge Connection -- 5.1 Knowledge Connection -- 5.2 Two Multi-dimensions Map Model Based on Knowledge Connection -- 6…Examples -- 7…Conclusion -- References -- 10 An Evolution System for Traditional Chinese Medicine Prescription -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Our Evolution System of TCM Prescription -- 3.1 Data Preprocessing -- 3.2 Trie-Based Prescription Composition Evolution -- 3.3 Function Evolution Based on Topic Model -- 4…Experiment -- 5…Conclusion and Future work -- Acknowledgment -- References -- 11 Evaluating Side Effects to Hide Sensitive Itemsets Through Transaction Deletion -- Abstract -- 1…Introduction -- 2…Review of Related Works -- 2.1 Data Mining Techniques -- 2.2 Privacy Preserving Data Mining -- 3…Proposed Algorithm Through Transactions Deletion -- 4…An Illustrative Example -- 5…Experimental Results -- 6…Conclusions -- References -- 12 Computing Concept Relatedness Based on Ontology -- Abstract -- 1Introduction -- 2Related Works -- 3Concept Relatedness -- 3.1 Ontology and Conceptual Relation -- 3.2 Concept Similarity -- 3.3 Concept Relevance -- 3.4 Concept Relatedness. , 4Experiments and Result -- 5Conclusions and Future Work -- References -- 13 Extracting Academic Activity Transaction in Chinese Documents -- Abstract -- 1Introduction -- 2Extraction Process of Academic Activity Transaction Information -- 3Text Sequence Preprocessing with Regular Matching -- 3.1 Characteristics of Sequences with Chinese Words and Part of Speech Labels -- 3.2 Context Words Classification in Regular Matching -- 4Academic Activity Information Extraction by Using CRF -- 4.1 The Principle of Conditional Random Fields -- 4.2 Labeling Academic Activity Transaction Information -- 4.2.1 Training Data and Test Date -- 4.2.2 The Labeling State of Academic Activity Information -- 4.3 Designing Templates with Characteristics of Academic Activity Sentences -- 4.3.1 Syntactic Structure of Academic Activity Transaction Sentences -- 4.3.2 Principle of Template Design -- 5Experiment and Analysis -- 6Conclusion -- Acknowledgment -- References -- 14 Predicting the Helpfulness of Online Book Reviews -- Abstract -- 1…Introduction -- 2…Related Works -- 3…Data and Evaluation -- 3.1 Data -- 3.2 Model and Evaluation -- 3.3 Features -- 3.3.1 Word Features or Unigrams (UG) -- 3.3.2 Shallow Syntax Features (SS) -- 3.3.3 Meta-Text Features (MT) -- 3.3.4 Social Features (SC) -- 4…Experiment Result and Discussion -- 5…Conclusions -- References -- 15 Word Sense Disambiguation Using WordNet Semantic Knowledge -- Abstract -- 1…Introduction -- 2…Related Work -- 2.1 Word Sense Disambiguation -- 2.2 WordNet -- 3…The SKW-WSD Method -- 3.1 Selecting the Context Feature Words -- 3.2 Expanding the Knowledge of the Word Senses -- 3.3 Selecting the Right Sense -- 4…Experiment -- 5…Conclusion and Future Work -- Acknowledgment -- References -- 16 A Knowledge and Employee Evaluation Method for Knowledge Management System -- Abstract -- 1…Introduction. , 2…The Evaluation Model of Knowledge and Employee -- 3…The Evaluation Index and Influencing Factors -- 3.1 Knowledge Evaluation Indexes -- 3.2 Staff Evaluation Indexes -- 4…Evaluation Methods for Knowledge and Employee -- 4.1 Active Evaluation -- 4.2 Automatic Evaluation -- 4.3 Comprehensive Evaluation of Knowledge and User -- 5…Application Analysis -- 6…Conclusions -- Acknowledgment -- References -- 17 Research on Knowledge Service for Product Lifecycle -- Abstract -- 1…Introduction -- 2…Demand Analysis of Lifecycle Knowledge Service -- 3…The Concept and Characteristic of the Whole Lifecycle for Knowledge Service -- 4…The Architecture of the Lifecycle Knowledge Service Platform -- 4.1 Service Model -- 4.2 Service Architecture -- 5…Knowledge Service Methods -- 6…The Development of Platform Function -- 7…Conclusions -- Acknowledgments -- References -- 18 Technological Diversification Effect on Business Performance: A Probing into Intermediaries Role of Product Innovation Strategy -- Abstract -- 1…Introduction -- 2…The Literature Review -- 3…Research Approaches, Questionnaire Design and Variable Measurement -- 4…Data Analysis -- 5…Results and Discussion -- 6…Conclusions and Prospects -- Acknowledgments -- References -- 19 Paraphrase Collocations Extraction Based on Concept Expansion -- Abstract -- 1Introduction -- 2Related Work -- 3Proposed Method -- 3.1 Extracting Collocations -- 3.2 Getting Paraphrase Collocation Candidates -- 3.3 Filtering Out Inappropriate Candidates -- 4Experiments and Results -- 4.1 Getting Paraphrase Collocation Candidates -- 4.2 Data Annotation and Determine Threshold -- 4.3 Comparison with Binary Classifier Method -- 4.4 Feature Analysis -- 5Conclusion -- Acknowledgment -- References -- 20 A Probabilistic Method for Tag Ranking in Tagging System -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Our Approach. , 3.1 Overview.

Note: Intro -- Preface -- Contents -- 1 Knowledge-Based Expressive Technologies Within Cloud Computing Environments -- Abstract -- 1…Introduction -- 2…Knowledge-Based e-Science Technologies -- 3…Expressive Technologies -- 4…Implementation Details -- 4.1 Basic Knowledge Structure -- 4.2 Domain-Specific Languages -- 4.3 User Interfaces -- 4.4 Touch Table Application: An Example -- 5…Discussion and Conclusion -- Acknowledgements -- References -- 2 Video Texture Smoothing Based on Relative Total Variation and Optical Flow Matching -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Approach -- 3.1 Model -- 3.2 Numerical Solution -- 4…Results -- 5…Conclusion -- Acknowledgments -- References -- 3 Gas Recognition Under Sensor Drift by Using Deep Learning -- Abstract -- 1…Introduction -- 2…Methods -- 3…Experiment -- 4…Conclusions -- Acknowledgment -- References -- 4 Wheel Slip Ratio Adaptive Control for Distributed Drive Electric Vehicles -- Abstract -- 1…Introduction -- 2…Wheel Slip Ratio Control -- 2.1 Description of Wheel Rotating Dynamic -- 2.2 Proof of Proportional--Integral Control -- 2.3 Wheel Slip Ratio PI Controller -- 2.4 Simulation Verification -- 2.4.1 Simulation Configuration -- 2.4.2 Simulation Results -- 3…Design of Road Estimator -- 3.1 Problem Formulation -- 3.2 Parameter Estimation -- 3.3 Simulation Verification -- 3.3.1 Simulation Configuration -- 3.3.2 Simulation Results -- 4…Wheel Slip Ratio Adaptive Control -- 4.1 Adaptive Controller Modeling -- 4.2 Simulation Verification -- 4.2.1 Constant Road Simulation -- 4.2.2 Changing Road Simulation -- 5…Conclusions -- Acknowledgements -- References -- 5 Active Disturbance Rejection Control for Tension Regulation of Stainless Steel Strip Processing Line -- Abstract -- 1…Introduction -- 2…Tension Dynamics Model -- 2.1 Equivalent Elastic Modulus -- 2.2 Mathematical Model of Strip Tension Dynamics. , 3…ADRC Design -- 3.1 Expand State Observer Design -- 3.2 State Error Feedback Law Design -- 3.3 ADRC Parameters Regulation -- 4…Simulation Results -- 4.1 Tracking Performance -- 4.2 Disturbance Rejection Performance -- 5…Conclusion -- References -- 6 An Improved Coupled Metric Learning Method for Degraded Face Recognition -- Abstract -- 1…Introduction -- 2…Related Works -- 3…SLPP--KCML -- 4…Experiment and Analysis -- 4.1 Experiment 1: The Low-Resolution Face Recognition Based on SLPP--CML -- 4.2 Experiment 2: The Low-Resolution Face Recognition Based on SLPP--KCML -- 5…Conclusions -- References -- 7 A New Phase Estimator of Single Sinusoid by Restricted Phase Unwrapping -- Abstract -- 1…Introduction -- 2…Tretter's Phase Estimation Algorithm -- 3…Phase Estimation by Using Restricted Phase Unwrapping -- 4…The Statistical Performance Analysis of Phase Estimation -- 5…Computer Simulations -- 6…Conclusions -- Acknowledgements -- References -- 8 An Improved Concurrent Multipath Transfer Mechanism in Wireless Potential Failure Network -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Congestion Distinguishing Mechanism -- 4…Simulation -- 5…Conclusion -- References -- 9 Model-Based Testing of Web Service with EFSM -- Abstract -- 1…Introduction -- 2…Test Cases Generation for Web Services Using EFSM -- 2.1 Modeling Web Service with EFSM -- 2.2 Test Cases Generation Algorithm Using EFSM -- 3…Case Study for Parlay-X Web Services -- 4…Conclusion -- Acknowledgment -- References -- 10 Data Fault Detection Using Multi-label Classification in Sensor Network -- Abstract -- 1…Introduction -- 2…Multi-label Classification -- 3…Feature Extraction and Labeling -- 3.1 Data Feature Extraction -- 3.2 Data Fault Labels -- 4…Experiments -- 4.1 DataSet -- 4.2 Evaluation Measures -- 4.3 Experimental Results and Analysis -- 5…Conclusions and Future Work -- Acknowledgment. , References -- 11 A Cloud Evolution Based Handoff Decision Scheme with ABC Supported -- Abstract -- 1…Introduction -- 2…Model Descriptions -- 3…Algorithm Design -- 3.1 Species and Initialization -- 3.2 Fitness Function and Forward Cloud Generator -- 3.3 Evolving Control Strategies and Termination Condition -- 3.4 Algorithm Description -- 4…Simulation Results and Discussions -- 5…Conclusions -- Acknowledgments -- References -- 12 Ultra-Wideband Pulse Generator for Heart-Rate Monitor -- Abstract -- 1…Introduction -- 2…Principle of UWB Heart-Rate Monitor -- 3…Generator of the Basic UWB Pulse -- 3.1 Principle of Avalanche Effect -- 3.2 Principle of Pulse Generator -- 3.3 Type of Components in the Circuit -- 4…Generator of Bipolar UWB Pulse -- 4.1 Design of Bipolar UWB Pulse Generating Circuit -- 4.2 Simulation and Debugging of the Bipolar UWB Pulse Generating Circuit -- 4.3 Manufacturing of the Circuit Board and the Measuring Results -- 5…Conclusion -- References -- 13 Pseudorange Differential GPS-Based Relative Navigation for UAV Formation Flight -- Abstract -- 1…Introduction -- 2…Pseudorange DGPS Relative Navigation with Single Base-Station -- 2.1 System Model -- 2.2 Residual Position Errors -- 3…Pseudorange Differential GPS Relative Navigation Without Base-Station -- 3.1 System Model -- 3.2 Position Error of Leader Plane -- 4…Simulation Verification -- 5…Conclusion -- References -- 14 Image Fire Detection System Based on Feature Regression Analysis and Support Vector Machine -- Abstract -- 1…Introduction -- 2…Candidate Region Detection -- 2.1 Fire-Colored Pixels Detection -- 3…Feature Analysis -- 3.1 Dynamic Flame Features and Static Features -- 3.2 Feature Regression Analysis -- 4…Fire Alarm Using SVM -- 5…Experiment Result -- 6…Conclusion -- Acknowledgments -- References. , 15 Spur Bevel Gearbox Fault Diagnosis Using Wavelet Packet Transform for Feature Extraction -- Abstract -- 1…Introduction -- 2…Data Acquisition Experiment -- 2.1 Experimental Setup -- 2.2 Experimental Procedure -- 3…Wavelet Packet Transform Theory -- 3.1 Basic Concepts of WPT -- 3.2 Frequency Aliasing -- 3.3 Eliminate Frequency Aliasing -- 4…Fault Feature Extraction -- 5…Discussion and Conclusion -- Acknowledgment -- References -- 16 Steering Nonholonomic Systems with Cosine Switch Control -- Abstract -- 1…Introduction -- 2…Cosine Switch Control -- 2.1 Case One -- 2.2 Case Two -- 3…An Example: Two-Wheeled Mobile Robot -- 3.1 Two-Wheeled Mobile Robot -- 3.2 Simulations -- 4…Experiments -- 5…Conclusions -- Acknowledgment -- References -- 17 Predicting and Verifying Forces by Using Different Cutters and Spaces -- Abstract -- 1…Introduction -- 2…Model Theories -- 3…Design of Simulate and Test Parameters -- 4…Cutter Ring Shape Influence -- 5…Influence of Cutter Space -- 6…Conclusions -- Acknowledgments -- References -- 18 The Segmentation and Adherence Separation Algorithm of Cotton Fiber -- Abstract -- 1…Introduction -- 2…The Proposed Algorithm -- 2.1 The Segmentation Algorithm -- 2.2 Contour Extraction based on Level Set -- 2.3 Adherence Separation Algorithm Based on FCM -- 2.4 Algorithm Detailed Steps -- 3…Experimental Results and Discussion -- 4…Conclusion -- References -- 19 Assessment Metrics for Unsupervised Non-intrusive Load Disaggregation Learning Algorithms -- Abstract -- 1…Introduction -- 2…Problem Descriptions -- 3…Assessment Metrics -- 3.1 Total Disaggregation Error -- 3.2 Accuracy of Single Appliance -- 3.2.1 Proportion Error -- 3.2.2 Normal Disaggregation Error -- 4…Experiment Results -- 5…Conclusions -- Acknowledgements -- References. , 20 Optimal Sensor Placement of Long-Span Cable-Stayed Bridges Based on Particle Swarm Optimization Algorithm -- Abstract -- 1…Introduction -- 2…Mathematic Model -- 3…Particle Swarm Optimization -- 3.1 Coding -- 3.2 Fitness Function -- 3.3 Algorithm Design -- 4…Case Study -- 4.1 Algorithm Parameters Set -- 4.2 Number of Sensors -- 4.3 Comparison of Placement Results -- 5…Conclusions and Future Work -- References -- 21 A Method for the Shortest Distance Routing Considering Turn Penalties -- Abstract -- 1…Introduction -- 2…Acquisition of Obstacle Areas -- 2.1 Tracing of Safety Contours -- 2.2 Safety Areas Derived from Contours -- 2.3 Extension of Obstacle Areas -- 2.4 Processing of Obstacle Areas -- 3…The Shortest Routing Considering Turning Penalties -- 3.1 Creation of a Route Binary Tree -- 3.2 Improvement of the Route Binary Tree -- 3.3 Turning Penalty -- 4…Applications and Discussion -- 5…Conclusion -- Acknowledgments -- References -- 22 Space Robot Teleoperation Based on Active Vision -- Abstract -- 1…Introduction -- 2…System Architecture -- 2.1 Ground-Based Monitoring Section -- 2.2 Simulated Space in the Rail Section -- 3…Active Vision System -- 3.1 A Based on Active Vision Pan-Tilt-Zoom (PTZ) Camera -- 3.2 Target Tracking Algorithm -- 3.3 Three-Dimensional Reconstruction for Kinect -- 4…Design for Time Delay System -- 5…Experimental Results and Analysis -- 5.1 Experimental Verification -- 5.2 The Experimental Results -- 6…Conclusion -- References -- 23 Listed Company Reorganization Risk Evaluation Based on Neural Network Model -- Abstract -- 1…Foreword -- 2…Modified BP Network Model and Algorithm -- 3…Listed Company Reorganization Risk Evaluation Method -- 3.1 Listed Company Reorganization Risk Evaluation Index System -- 3.2 Constructing a Variable Structure BP Neural Network -- 3.3 Comprehensive Evaluation -- 4…Case Study -- 5…Conclusions. , References.

Note: Intro -- Preface -- Organizing Committee -- Sponsors -- Contents -- 1 The Incremental Updating Method for Core Computing Based on Information Entropy in Set-Valued Ordered Information Systems -- Abstract -- 1…Introduction -- 2…Preliminaries -- 2.1 Set-Valued Ordered Information Systems -- 2.2 The Attribute Core in SOIS from the Information View -- 3…Principles for Incrementally Updating Core in SOIS Based on Information Entropy -- 3.1 Insertion of a New Object -- 3.2 Deletion of an Object -- 4…A Illustrate Example -- 5…Conclusion -- Acknowledgments -- References -- 2 An Algebraic Analysis for Binary Intuitionistic L-Fuzzy Relations -- Abstract -- 1…Introduction -- 2…Preliminaries -- 3…The Arithmetical Properties of {\mathfrak{ILFR}} (U \times U) -- 4…Conclusion -- Acknowledgments -- References -- 3 An Improved Classification Method Based on Random Forest for Medical Image -- Abstract -- 1…Introduction -- 2…Medical Image Preprocessing -- 3…Improved Classification Algorithm Based on Random Forest -- 3.1 The Evaluation of Random Forest -- 3.2 The ROC Curve Performance Regions -- 3.3 The Bounds of ROC -- 3.4 The Procession of IRFA -- 4…Experiment and Analysis -- 5…Conclusion -- Acknowledgments -- References -- 4 IdeaGraph: Turning Data into Human Insights for Collective Intelligence -- Abstract -- 1…Introduction -- 2…A Review of KeyGraph Algorithm -- 3…The Limitation of KeyGraph -- 4…IdeaGraph: A New Algorithm to Obtain Improved Insights -- 5…Experimental Evaluation -- 5.1 Experimental Design -- 5.2 Results' Evaluation -- 6…Conclusion -- Acknowledgments -- References -- 5 A General Hierarchy-Set-Based Indoor Location Modeling Approach -- Abstract -- 1…Introduction -- 2…Overview of Location Modeling -- 2.1 Location-Based Services -- 2.2 Position Query -- 2.3 Nearest Service Query -- 2.4 Navigation Query -- 2.5 Range Query -- 2.6 Location Semantics. , 2.7 Topology Relation Semantics -- 2.8 Distance Semantics -- 2.9 Existing Location Modeling Approach -- 3…Combined Hierarchy-Set Model for Indoor Locations -- 3.1 Building Hierarchy Tree Model of Location -- 3.2 Distance Identification Between Indoor Locations -- 3.3 Set-Based Model -- 3.4 A Path Planning Algorithm -- 4…A Complete Example: Modeling an Indoor School Hospital -- 5…Conclusion and Future Work -- References -- 6 Acquisition of Class Attributes Based on Chinese Online Encyclopedia and Association Rule Mining -- Abstract -- 1Introduction -- 2Background -- 3Class Attributes Extraction Method -- 3.1 Process of Class Attribute Extraction -- 3.2 Frequent Patterns Mining -- 3.3 Association Analysis -- 3.4 Extraction of Candidate Attribute Words -- 3.5 Acquisition of Uniform Attribute Names -- 4Experimental Results -- 4.1 Data Set -- 4.2 Experiment on Extraction of Patterns -- 4.3 Experiment on Association Analysis -- 4.4 Experiment on Acquisition of Uniform Attribute Names -- 5Conclusion -- Acknowledgments -- A.x(118). Appendix: Number of Extracted Attributes and Examples of Attributes Over Target Classes -- References -- 7 A Delivery Time Computational Model for Pervasive Computing in Satellite Networks -- Abstract -- 1…Introduction -- 2…Model Establishment -- 2.1 The LEO Satellite Network -- 2.2 Source Traffic -- 2.3 Destination Distribution -- 2.4 System Model -- 3…Model Solving -- 3.1 Traffic Load Distribution -- 3.2 Single Queue Solving -- 3.3 Tandem Queue Solving -- 4…Performance Evaluation -- 5…Conclusion -- References -- 8 How People Use Visual Landmarks for Locomotion Distance Estimation: The Case Study of Eye Tracking -- Abstract -- 1…Introduction -- 2…Related Works -- 3…Method -- 3.1 Subjects -- 3.2 Apparatus and Virtual Environment -- 3.3 Design and Procedure -- 4…Results -- 4.1 Distance Reproduction -- 4.2 Gaze -- 5…Discussion. , 6…Implications and Future Work -- Acknowledgments -- References -- 9 Prediction Analysis of the Railway Track State Based on PCA-RBF Neural Network -- Abstract -- 1…Introduction -- 2…RCA-RBF Neutral Network -- 2.1 Principal Component Analysis -- 2.2 RBF Neural Network -- 2.3 Description of the PCA-RBF Model -- 3…Experimental Analysis -- 3.1 Data Set -- 3.2 Experimental Results -- 4…Conclusions -- Acknowledgments -- References -- 10 A Two-Step Agglomerative Hierarchical Clustering Method for Patent Time-Dependent Data -- Abstract -- 1…Introduction -- 2…Patent Data Analysis and Methodology -- 2.1 Patent Time-Dependent Data -- 2.2 Agglomerative Hierarchical Clustering -- 2.3 Could Euclidean Distance Normalization be Used to Preprocess the Patent Sequences? -- 3…Two-Step Agglomerative Hierarchical Clustering Method for Patent Time-Dependent Data -- 4…Result and Discussion -- 4.1 Data -- 4.2 Two-Step AHC Technology Clustering -- 4.3 Result Comparison and Discussion -- 5…Conclusion and Future Study -- References -- 11 A Novel Modular Recurrent Wavelet Neural Network and Its Application to Nonlinear System Identification -- Abstract -- 1…Introduction -- 2…A Modular RWNN Based on the Pipelined Architecture -- 3…Training Algorithm for the PRWNN -- 4…Simulations -- 5…Conclusion -- Acknowledgments -- References -- 12 Automated Text Data Extraction Based on Unsupervised Small Sample Learning -- Abstract -- 1Introduction -- 2Related Work -- 3Major Process of our Algorithm -- 4Iterative Center Core Multiple Sequence Alignment Method -- 4.1 Text Token Element Split -- 4.2 Center Core Method -- 4.2.1 An Overview of the Method -- 4.2.2 Score Function for Core Sequence Selection -- 4.2.3 Multiple Sequence Alignment -- 4.3 Iterative Center Core Method -- 5Template Deduction and Text Data Extraction -- 5.1 Identify Columns Based on Information Entropy. , 5.2 Template Deduction -- 5.3 Data Element Extraction -- 6Experiments -- 7Conclusion -- Acknowledgments -- References -- 13 SLAM and Navigation of a Mobile Robot for Indoor Environments -- Abstract -- 1…Introduction -- 2…The Proposed Robot System -- 2.1 Mobile Service Robot -- 3…Simultaneous Localization and Mapping -- 3.1 Feature Extraction -- 3.2 Data Association -- 3.3 Extended Kalman Filter -- 3.4 Motion Plan and Obstacle Avoidance -- 4…Experiments -- 4.1 Estimate Start Position -- 4.2 Obstacle Avoidance -- 5…Conclusions -- Acknowledgments -- References -- 14 A Novel Approach for Computing Quality Map of Visual Information Fidelity Index -- Abstract -- 1…Introduction -- 2…The VIF Metric -- 3…Quality Map of VIF -- 4…Gradient of VIF -- 5…Experimental Results -- 6…Conclusion -- Acknowledgments -- References -- 15 A Simulation of Electromagnetic Compatibility QoS Model in Cognitive Radio Network -- Abstract -- 1…Introduction -- 2…The Application Scene and Topology Structure -- 3…The Principle of Electromagnetic Compatibility Analysis -- 3.1 Attenuation of Antenna-Feeder System -- 3.2 Co-channel/Adjacent Channel Interference -- 3.3 Harmonic Interference -- 3.4 Transmitter Intermodulation Interference -- 3.5 Receiver Intermodulation Interference -- 4…Subnet Qos Model Based on EMCA -- 4.1 Precise EMC QoS Model -- 4.2 Approximate EMC QoS Model -- 5…Simulation Design -- 5.1 Simulation 1 -- 5.2 Simulation 2 -- 5.3 Simulation 3 -- 5.4 Explain for Simulation Parameters -- 6…Simulation Results -- 6.1 Result of Simulation 1 -- 6.2 Result of Simulation 2 -- 6.3 Result of Simulation 3 -- 7…Conclusion -- Acknowledgments -- References -- 16 Separating and Recognizing Gestural Strokes for Sketch-Based Interfaces -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Our Design of Gesture Interaction -- 3.1 Gesture Set Analysis -- 3.2 Gesture Issuing Method. , 4…Recognition -- 4.1 Lasso Stroke Recognition -- 4.2 Command Stroke Recognition -- 4.3 Gesture Execution -- 5…Evaluation -- 6…Conclusions and Future Work -- Acknowledgments -- References -- 17 Modeling and Performance Analysis of Workflow Based on Advanced Fuzzy Timing Petri Nets -- Abstract -- 1…Introduction -- 2…Advanced Fuzzy Timing Workflow Nets -- 2.1 Fuzzy Time Concept -- 2.2 AFTWF-nets Model -- 3…Performance Analysis of AFTWF-nets -- 3.1 Time Calculation of AFTWF-nets -- 3.2 Time Performance Analysis of AFTWF-nets -- 3.3 A Stratification Algorithm of Temporal Reachable Probability -- 4…Case Study and Analysis -- 5…Conclusion -- References -- 18 Price Discount Subsidy Contract for a Two-Echelon Supply Chain with Random Yield -- Abstract -- 1…Introduction -- 2…The Models -- 2.1 Additional Discount Subsidy Contract -- 2.2 All Units Discount Subsidy Contract -- 3…The Retailer's Problem -- 3.1 The Retailer--Manufacturer Problem Under Additional Discount Subsidy Contract -- 3.2 The Retailer--Manufacturer Problem Under all Units Discount Subsidy Contract -- 4…Conclusions -- Acknowledgments -- References -- 19 Reducing EMI in a PC Power Supply with Chaos Control -- Abstract -- 1…Introduction -- 2…Design of a Power Supply with Chaotic PWM -- 2.1 System Circuit -- 2.2 Analog Chaotic PWM with TL494 -- 2.3 Design of an External Chaotic Signal to TL494 -- 2.4 Chaos Control Based on TL494 -- 3…Simulation Results -- 4…Hardware Design and Experimental Results -- 5…Conclusion -- Acknowledgment -- References -- 20 Optimization of Plasma Fabric Surface Treatment by Modeling with Neural Networks -- Abstract -- 1…Introduction -- 2…Plasma Treatment -- 3…Selection of Relevant Input Variables -- 4…Modeling with a Neural Network -- 4.1 Data Pre-processing -- 4.2 Neural Network Architecture -- 4.3 Training Algorithms -- 4.4 Optimizing the Number of Hidden Neurons. , 4.5 Number of Training Iterations.

Note: Title -- Preface -- Organization -- Table of Contents -- Part I: Rough Sets and Its Generalizations -- A Characterization of Rough Separability -- Introduction -- Rough Sets and Indiscernibility Relations -- Rough Separability and Pseudometric Spaces -- Pseudometrics Determined by Families of Sets -- Equivalence of Pseudometric Spaces -- Conclusions -- References -- Data-Driven Valued Tolerance Relation -- Introduction -- Valued Tolerance Relation -- Data-Driven Valued Tolerance Relation -- Calculation of Tolerance Degree -- Auto-selection of Threshold -- Experiment Results -- Conclusions -- References -- Optimistic Multi-Granulation Fuzzy Rough Set Model Based on Triangular Norm -- Introduction -- The Rough Set Based on Triangular Norm -- Optimistic Multi-Granulation Fuzzy Rough Set Based on Triangular Norm -- Conclusions -- References -- Rough Set Model Based on Hybrid Tolerance Relation -- Introduction -- Preliminaries -- Strong and Weak Indiscernibility Relations -- Incomplete Information System and Tolerance Relations -- Weak Tolerance Relations -- Hybrid Tolerance Relation and Decision Rule -- Hybrid Tolerance Relation -- Decision Rule -- Conclusions -- References -- Scalable Improved Quick Reduct: Sample Based -- Introduction -- Overview of IQRA and IQRA_IG Algorithms -- Proposed SGIQRA_IG Algorithm -- Experiments and Results -- Analysis of Results -- Conclusion -- References -- Soft Rough Sets Based on Similarity Measures -- Introduction -- Preliminaries -- Analysis of Soft Rough Approximations -- Soft Fuzzy Rough Sets Based on Similarity Measures -- Concluding Remarks -- References -- Theory of Truth Degrees in Three Valued Formed System RSL -- Introduction -- Basic of Rough Set and Formed System RSL -- The Theory of Truth Degree -- Similarity Degree and a Pseudo-metric among Formulas -- Conclusion -- References. , Upper Approximation Reduction Based on Intuitionistic Fuzzy T Equivalence Information Systems -- Introduction -- Intuitionistic Fuzzy Rough Sets and Intuitionistic Fuzzy T Equivalence Information Systems -- Upper Approximation Reduction in IF T Equivalence Information Systems with Decision -- An Illustrated Example -- Conclusions -- References -- Part II: Rough Sets in Data and Knowledge Processing -- A Fuzzy-Rough Sets Based Compact Rule Induction Method for Classifying Hybrid Data -- Introduction -- Preliminary Notion of Rough Sets Based Rule Induction Method -- Fuzzy Rough Sets Based Compact Rule Learner -- Experiments and Discussion -- Conclusion -- References -- A New Intuitionistic Fuzzy Rough Set Approach for Decision Support -- Introduction -- Preliminaries -- Dominance-Based Rough Set Approach -- Intuitionistic Fuzzy Theory -- Uncertain Rule Induction -- Believe Factor -- Measurements -- Believable Rule Induction -- Illustrative Example -- Decision Table and Rough Approximations -- Believable Rule Induction -- Verification of Sorting Capability -- Conclusion -- References -- A New Rule Induction Method from a Decision Table Using a Statistical Test -- Introduction -- Model of Data Generation -- Proposal of Rule Estimation Method by Statistical Test -- Algorithm for Rule Induction -- Experimental Studies -- Conclusions -- References -- A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System -- Introduction -- Rough Set Theory (RST) -- Proposed RNRS Architecture -- Design of ADNN -- Approximation Neuron -- Decider Neuron -- Architecture of ADNN -- Experimental Results -- Conclusion -- References -- An Approximation Decision Entropy Based Decision Tree Algorithm and Its Application in Intrusion Detection -- Introduction -- Preliminaries -- Approximation Decision Entropy -- Decision Tree Algorithm DTADE. , Experimental Results -- Conclusion -- References -- Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides -- Introduction -- Material and Methods -- Material -- Discovery of Decision Rules Using DRSA -- Attribute Relevance -- Results and Discussion -- References -- Classification and Decision Based on Parallel Reducts and F-Rough Sets -- Introduction -- F-Rough Sets and Parallel Reducts -- Three Types of Classification(Decision) Based on Parallel Reducts and F-Rough Sets -- Specific Decision Subsystem -- Decision Subsystem Selected Randomly -- Deciding by a Majority Vote -- Conclusion -- References -- Evidential Clustering or Rough Clustering: The Choice Is Yours -- Introduction -- Similarities between ECM and RKM -- Strengths of ECM -- Strengths of RKM -- Conclusion -- References -- Heuristic for Attribute Selection Using Belief Discernibility Matrix -- Introduction -- Rough Set Theory -- Belief Function Theory -- Heuristic for Attribute Selection Method Using Belief Discernibility Matrix -- Uncertain Decision Table -- Feature Selection with Johnson´s Heuristic Algorithm -- Belief Discernibility Matrix -- Belief Rough Set Classifier -- Experimental Results -- Conclusion and Future Work -- References -- Incremental Rules Induction Based on Rule Layers -- Introduction -- Rough Sets and Probabilistic Rules -- Rough Set Theory -- Probabilistic Rules -- Problems in Incremental Rule Induction -- Theory for Incremental Learning -- Both: Negative -- R: Positive -- d: Positive -- d: Positive -- Updates of Accuracy and Coverage -- An Algorithm for Incremental Learning -- Algorithm -- Experimental Results -- Conclusion -- References -- Optimization of Inhibitory Decision Rules Relative to Length and Coverage -- Introduction -- Nonredundant Decision Rules -- Directed Acyclic Graph (T). , Procedures of Optimization Relative to Length and Coverage -- Experimental Results -- Conclusions -- References -- Parallelized Computing of Attribute Core Based on Rough Set Theory and MapReduce -- Introduction -- Parallel Algorithm for Computing Attribute Core Based on Rough Set and MapReduce -- Experiments and Discussion -- Case Study -- Comparative Experiments for Efficiency of the Proposed Algorithm -- Conclusion -- References -- Semi-supervised Vehicle Recognition: An Approximate Region Constrained Approach -- Introduction -- Semi-supervised Learning Based on Approximate Region Constraints (SsL-ARC) -- SsL-ARC Algorithm Framework -- Approximate Region Constraints -- Experiments -- Conclusions -- References -- Part III: Knowledge Technology -- A Color Image Segmentation Algorithm by Integrating Watershed with Region Merging -- Introduction -- Watershed Algorithm -- Merger of the Image Regions -- Distance Metric between Graph Regions -- Merger Algorithm of the Image Regions -- Experimental Results and Analysis -- Conclusion -- References -- A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization -- Introduction -- Multi-Objective Optimization Problems -- Multi-Objective Coordination Operator Evolutionary Programming Based on Single Point and PSO Operator -- Mixed Strategy -- Maintenance of External Archive -- Algorithm Description -- The Experimental Results -- Experiment Setting -- Results and Analysis -- Summary -- References -- A Novel Distributed Machine Learning Method for Classification: Parallel Covering Algorithm -- Introduction -- Covering Algorithm Overview -- Learn Procedure -- Classification -- Parallel Covering Algorithm -- Experiments and Analysis -- Uniprocessor Environment -- Multi-core Parallel Computing Environment -- Conclusion -- References. , A Spatial Clustering Method for Points-with-Directions -- Introduction -- Related Work -- Points-with-Directions Clustering -- Problem Definition -- Spatial Clustering Method for Points-with-Directions -- The Limitations of PDC -- PDC+ -- Experimental Evaluation -- Conclusions and Future Work -- References -- An Argumentation Framework for Non-monotonic Reasoning in Description Logic -- Introduction -- The Description Logic ALC -- Defeasible ALC -- Inductive Terminologies -- Conclusion and Future Work -- References -- Analysis of Symmetry Properties for Bayesian Confirmation Measures -- Introduction -- Preliminaries -- Property of Bayesian Confirmation -- Properties of Symmetry -- A New Set of Symmetry Properties -- Conclusions -- References -- Applying Verbal Decision Analysis in Selecting Specific Practices of CMMI -- Introduction -- Verbal Decision Analysis: Overview and Application -- Conclusions, Future Works and Acknowledgment -- References -- Belief Networks in Classification of Laryngopathies Based on Speech Spectrum Analysis -- Introduction -- Laryngopathy Data -- Theoretical Foundations of BeliefSEEKER -- Experiments -- Conclusions -- References -- Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents -- Introduction -- A Method for Analyzing Distances on Taxonomy and Temporal Patterns of Term Usage -- Obtaining Temporal Patterns of Data-Driven Indexes Related to Term Usages -- Defining Similarity of Terms on a Structured Taxonomy -- Analyzing Similarity of Terms in Temporal Patterns of Medical Research Documents -- Analysis of Disease over Time -- Obtaining Temporal Patterns of Medical Terms about Migraine Drug Therapy Studies -- Similarity of the Terms in Obtained Temporal Patterns on MeSH -- Conclusion -- References. , Extracting Incidental and Global Knowledge through Compact Pattern Trees in Distributed Environment.

Note: Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Knowware: A Commodity Form of Knowledge -- Granular Computing in Multi-agent Systems -- Introduction -- Granular Agents and Multi-agent Systems: Architectural and Functional Insights -- Agent Communication: Internal Representation of Incoming Evidence -- Communicating Granular Findings -- Acceptance of Multiple Input Evidence and Its Representation -- Realization of Acceptance of Input Evidence through the Use of Logically Inclined Logic Operators -- SOR Logic Connectives -- SAND Logic Connectives -- Reconstruction of Information Granules -- Aggregating and Representing Multiple Evidence: A Principle of Justifiable Granularity -- Conclusions -- References -- Linguistic Dynamic Systems for Computing with Words and Granular Computing -- Rough Set Approach to KDD -- Dominance-Based Rough Set Approach to Reasoning about Ordinal Data - A Tutorial -- Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial -- Introduction to 3DM: Domain-Oriented Data-Driven Data Mining -- Granular Computing: Past, Present, and Future -- Rough Logics with Possible Applications to Approximate Reasoning -- A Comparison of Six Approaches to Discretization-A Rough Set Perspective -- Introduction -- Discretization Methods -- Globalization of Local Discretization Methods -- Discretization Based on Cluster Analysis and Interval Merging -- Experiments -- Conclusions -- Adaptive Classification with Jumping Emerging Patterns -- Introduction -- Classification Problem -- Adaptive Classification -- Emerging Patterns -- Adaptive JEP-Classifier -- Support Adjustment -- Border Recomputation -- Adaptation Condition -- Experimental Results -- Conclusions -- Two-Phase Rule Induction from Incomplete Data -- Introduction -- A Framework of Two-Phase Rule Induction -- An Algorithm of Two-Phase Rule Induction. , Induction of Partial Rules Based on Known Value -- Refinement of Rules Based on Filled-In Missing Values -- An Example -- Conclusion -- Comparison of Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules -- Introduction -- Decision Tables -- Deterministic Decision Rules -- Inhibitory Decision Rules -- Classification Algorithms -- Results of Experiments -- Conclusions -- Consistency and Fuzziness in Ordered Decision Tables -- Introduction -- Preliminaries -- Consistency of an Ordered Decision Table -- Fuzziness of an Ordered Rough Set and an Ordered Rough Classification -- Conclusions -- Fast Knowledge Reduction Algorithms Based on Quick Sort -- Introduction -- Time Complexity of Quick Sort -- Algorithm for Computing Attribute Core -- Fast Knowledge Reduction Based on Attribute Order -- Attribute Order -- Attribute Reduction Based on Attribute Order and Divide and Conquer Method -- Experiment Results -- Conclusions and Future Works -- Multiple-Source Approximation Systems: Membership Functions and Indiscernibility -- Introduction -- Basic Notions in Multiple-source Approximation Systems -- Different Notions of Definability -- Membership Functions and Degree of Indiscernibility -- Degree of Indiscernibility of Objects in -- Another Membership Function for -- Conclusions -- Stability Analysis on Rough Set Based Feature Evaluation -- Introduction -- Stability Coefficients of Feature Evaluation -- Rough Set Based Feature Evaluation Functions -- Experimental Analysis -- Conclusion -- Apply a Rough Set-Based Classifier to Dependency Parsing -- Introduction -- Preliminaries -- Dependency Parsing -- Rough Sets Dependence Measure -- Rough Set-Based Classifier -- Experiments -- Data Set and Task Description -- Experimental Analysis -- Conclusion and Future Work -- Four-Valued Extension of Rough Sets -- Introduction -- The Framework. , Four-Valued Sets -- Four-Valued Calculus -- Four-Valued Set Approximations -- An Example -- Conclusions -- A Note on Characteristic Combination Patterns about How to Combine Objects in Object-Oriented Rough Set Models -- Introduction -- The Object-Oriented Rough Set Model -- Characteristic Combination Patterns as Essential Part of How to Combine Objects -- Conclusion -- Induced Intuitionistic Fuzzy Ordered Weighted Averaging Operator and Its Application to Multiple Attribute Group Decision Making -- Introduction -- Preliminaries -- I-IFOWA Operator -- An Approach to Group Decision Making with Intuitionistic Fuzzy Information -- Illustrative Example -- Conclusion -- References -- Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets -- Introduction -- Decision-Theoretic Rough Sets -- Loss Functions -- Conditional Risk -- A Game-Theoretic Calculation for Conditional Risk -- The Boundary Region and Conditional Risk -- Game-Theoretic Specification -- Measuring Action Payoff -- Payoff Tables and Equilibrium -- Loss Tolerance Calculation -- Conclusions -- Multi-agent Based Multi-knowledge Acquisition Method for Rough Set -- Introduction -- Multi-reduction Algorithm for Decision Space -- Multi-agent Based Knowledge Acquisition Method -- Experimental Results and Discussion -- Conclusion -- Knowledge-Based Genetic Algorithms -- Introduction -- Some Basic Concepts -- Indiscernibility Relation -- Binary Granule Definition by Equivalence Qing Liu,chen -- Space Partition of the GA Based on Indiscernibility Relation -- Binary Relation Matrix of Individual Variables and Their Fitness Function -- Knowledge-Based Genetic Algorithm(KGA) -- Classification for the Problem Being Solved -- Algorithm Description -- Simulation Experiment -- Conclusion -- Dependent Uncertain Linguistic OWA Operator -- Introduction -- DULOWA Operator. , An Approach to GDM under Uncertain Linguistic Environment -- Illustrative Example -- Conclusion -- References -- Efficient Gene Selection with Rough Sets from Gene Expression Data -- Introduction -- Rough Sets Based Feature Selection -- Rough Sets Based Gene Selection Method -- Experimental Results -- Conclusions -- Rough Cluster Algorithm Based on Kernel Function -- Introduction -- Related Basic Theory -- Kernel Method -- Kernel Clustering Algorithm -- Rough Clustering Algorithm -- Rough Kernel Clustering Algorithm -- Basic Process of Rough Kernel Clustering Algorithm -- An Example of Rough Assigning -- Rough Kernel Cluster Algorithm -- Experiments -- Conclusions -- New Reduction Algorithm Based on Decision Power of Decision Table -- Introduction -- Rough Set Theory Preliminaries -- The Proposed Approach -- Limitations of Current Reduction Algorithms -- Representation of Decision Power on Decision Table -- Design of Reduction Algorithm Based on Decision Power -- Experimental Results -- Conclusion -- A Heuristic Algorithm Based on Attribute Importance for Feature Selection -- Introduction -- Preliminaries -- Importance -- Heuristic Search of the Selection of Feature Subset -- Heuristic -- Heuristic Method -- An Example -- Application in Image Classification -- Feature Selection Results -- Rough Mereology in Analysis of Vagueness -- Motivations: Rough Set Analysis of Vagueness -- A Mereological Content of Rough Set Analysis of Vagueness -- Rough Mereology: Motivation -- Rough Inclusions: Case of Information Systems -- Applications: Granulation of Knowledge -- Applications: Granular Data Sets -- Conclusions -- Reasoning about Concepts by Rough Mereological Logics -- Introductory Notions -- Granulation of Knowledge -- Mereological Tools -- Rough Mereological Tools -- Granule Formation -- Granular Rough Mereological Logics -- Reasoning with L. , Rough Set Reasoning: Possibility and Necessity -- Reasoning with 3 -- On the Idea of Using Granular Rough Mereological Structures in Classification of Data -- Introduction: Rough Inclusions, Granulation of Knowledge -- The Case of Rough Inclusions from Hamming Metrics on Information Sets -- Parameterized Variants of Rough Inclusions h in Classification of Data -- Results of Tests with Granules of Training Objects According to h(v,u,1) Voting for Decision -- Results of Tests with Granules of Training Objects According to h(v,u,r) Voting for Decision -- Rough Inclusions and Their Weaker Variants from Residual Implications in Classification of Data -- Conclusion -- On Classification of Data by Means of Rough Mereological Granules of Objects and Rules -- Introduction -- Granulation of Knowledge and Granular Reflections of Data Sets -- A Modified Rough Inclusion and Applications to Data Classification -- Voting by Granules on Decision Values -- Results of Tests with Classification Based on Granulation by Means of (v,u,1) -- Results of Tests -- Results of Tests with Classification Based on Granulation by Means of (v,u,r) -- Conclusions -- Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions -- Introduction -- Granular Reflections of Data Sets -- Results of Experiments -- Conclusions -- Color Image Interpolation Combined with Rough Sets Theory -- Introduction -- RS Theory RS01,RS02 -- Image Interpolation Combined with RS Theory -- Bzier Surface Interpolation -- RS Criterion for Noise and Edge -- RS Application on Image Interpolation -- Experiments -- Conclusion -- Dominance-Based Rough Sets Using Indexed Blocks as Granules -- Introduction -- Related Concepts -- Information Systems, Rough Sets, and Dominance Based Rough Sets -- Indexed Blocks -- Combination of Criteria -- Approximating Sets of Decision Classes -- Conclusion. , Algebraic Structures for Dominance-Based Rough Set Approach.

Note: Intro -- Preface -- LNCS Transactions on Rough Sets -- Managing Editor -- Technical Editor -- Editorial Board -- Contents -- On the Intuitionistic Fuzzy Topological Structures of Rough Intuitionistic Fuzzy Sets -- 1 Introduction -- 2 Basic Notions of Intuitionistic Fuzzy Sets -- 3 Rough Intuitionistic Fuzzy Sets -- 3.1 Rough Fuzzy Approximation Operators -- 3.2 Rough Intuitionistic Fuzzy Approximation Operators -- 4 Basic Concepts of Intuitionistic Fuzzy Topological Spaces -- 5 Topological Structures of Rough Intuitionistic Fuzzy Sets -- 6 The Conditions of an Intuitionistic Fuzzy Topological Spaces Induced from a Crisp Approximation Space -- 7 Conclusion -- References -- Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Test-Cost-Independent Decision Systems -- 2.2 Positive Region -- 2.3 Feature Selection with Positive Region Constraint Problem -- 3 The Algorithm -- 4 Experiments -- 4.1 Experiments Settings -- 4.2 Experiments Results -- 5 Conclusions -- References -- A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System -- 1 Introduction -- 2 Overview of Rough Set Theory -- 3 Proposed RNR System -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 ADNN-Based Recognition -- 3.4 Approximation Neuron -- 3.5 Decider Neuron -- 4 Simulation Results -- 5 Conclusion -- References -- Variable Precision Multigranulation Rough Set and Attributes Reduction -- 1 Introduction -- 2 VPRS and MGRS -- 2.1 Variable Precision Rough Set -- 2.2 Multigranulation Rough Set -- 3 Variable Precision Multigranulation Rough Set -- 3.1 Variable Precision Optimistic Multigranulation Rough Set -- 3.2 Variable Precision Pessimistic Multigranulation Rough Set -- 3.3 Approximation Quality -- 4 Relationships Among Several Models -- 5 Attribute Reduction in VPMGRS. , 5.1 Experimental Results -- 6 Conclusions -- References -- Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email -- 1 Introduction -- 2 Decision-Theoretic Rough Set Model -- 3 Three-Way Decisions and Two-Way Decisions Solutions on Spam Filtering -- 3.1 Three-Way Decisions Solution -- 3.2 Two-Way Decisions Solution -- 3.3 Evaluation Measures -- 4 Experiments -- 4.1 Experiment 1 with Measure Group 1 -- 4.2 Experiment 2 with Measure Group 2 -- 5 Conclusions -- A Experimental Result Tables -- References -- A Three-Way Decisions Approach to Density-Based Overlapping Clustering -- 1 Introduction -- 2 Preliminaries -- 3 Formulation of Clustering -- 3.1 Extend DTRS for Clustering -- 3.2 Re-formulation of Clustering Using Interval Sets -- 4 Clustering Algorithm Using Three-way Decisions -- 4.1 Basic Concepts -- 4.2 Initial Clustering Processing -- 4.3 Three-Way Decisions Clustering Processing -- 5 Experimental Results -- 5.1 Overlapping Clustering Analysis -- 5.2 Arbitrary Shape Clustering Analysis -- 6 Conclusion -- References -- Three-Way Decisions in Stochastic Decision-Theoretic Rough Sets 敳敲癥搠䁤 㴀 ⨀䁬整䁴潫敮 ⴀ㘀瀀 -- 1 Introduction -- 2 Preliminaries -- 2.1 Stochastic Model and Confidence Interval -- 2.2 Decision-Theoretic Rough Sets -- 3 Extension of Decision-Theoretic Rough Set Models -- 3.1 Stochastic Decision-Theoretic Rough Sets -- 3.2 Stochastic Decision-Theoretic Rough Sets with Statistical Distributions -- 4 An Illustration -- 5 Conclusions -- References -- Correction to: Transactions on Rough Sets XVIII -- Correction to: J. F. Peters et al. (Eds.): Transactions on Rough Sets XVIII, LNCS 8449, https://doi.org/10.1007/978-3-662-44680-5 -- Author Index.

Note: Intro -- General Chairs' Preface -- PC Chairs' Preface -- Organization Committee -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Data Science -- PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift -- 1 Introduction -- 2 Preliminary -- 2.1 Few-shot Learning -- 2.2 The Support-Query Shift and Optimal Transportation -- 3 Methodology -- 3.1 Motivation -- 3.2 Perturbation-Guided Adversarial Alignment (PGADA) -- 3.3 Regularized Optimal Transportation -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Quantitative Analysis -- 4.3 Ablation Studies -- 5 Related Work -- 6 Conclusion -- References -- Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning -- 1 Introduction -- 2 Related Work and Backgrounds -- 2.1 Related Work -- 2.2 Background -- 3 Improving Regularization/Prior-Based Methods with Auxiliary Local Variables in Continual Learning -- 3.1 Auxiliary Local Variables in Each Neural Network Layer -- 3.2 ALV for Regularization/Prior-Based Methods -- 3.3 Theoretical Analyses -- 4 Experiments -- 4.1 Effectiveness of ALV on Split and Permuted MNIST Datasets -- 4.2 Effectiveness of ALV on Split CIFAR-100 and Split CIFAR-10/100 -- 5 Conclusion -- References -- Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms -- 1 Introduction -- 2 Problem Statement -- 3 Related Work -- 4 The Proposed Method -- 4.1 Document-Level Clustering -- 4.2 Corpus-Level Clustering -- 4.3 The Search Expression Extraction -- 5 Experiments -- 6 Conclusions -- References -- Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Problem Definition -- 4.2 Categorization of Event Pairs -- 4.3 Multivariate Hawkes Process -- 5 Experiments. , 5.1 Experimental Setup -- 5.2 Experimental Results -- 6 Conclusion -- References -- Are Edge Weights in Summary Graphs Useful? - A Comparative Study -- 1 Introduction and Related Works -- 2 Graph Summarization Models -- 2.1 Weighted Graph Summarization Model -- 2.2 Unweighted Graph Summarization Model -- 3 Problem Formulation and Algorithms -- 3.1 Optimization Problem Formulation -- 3.2 Weighted Graph Summarization Algorithms -- 3.3 Unweighted Graph Summarization Algorithms -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Results -- 5 Discussion: Why Can Edge Weights Be Harmful? -- 6 Conclusion and Future Directions -- A Appendix: Graph Algorithms on Summary Graphs -- References -- Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Multi-resolution Recursive Prediction -- 3.2 Spatio-Temporal Transformer -- 4 Experiments -- 4.1 Results and Analysis -- 4.2 Ablation Study -- 4.3 Further Discussions -- 5 Conclusion -- References -- LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Graph Neural Networks -- 3 Approach -- 3.1 Embedding Layer -- 3.2 Cross-Attention Layer -- 3.3 Preference Extractor -- 3.4 Fusion Layer -- 3.5 Prediction Layer -- 4 Experiments -- 4.1 Performance Comparison -- 4.2 Ablation Experiments -- 4.3 Hyper-Parameter Studies -- 5 Conclusion -- References -- Coded Hate Speech Detection via Contextual Information -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Coded Word Representation -- 3.2 Transformation Layers -- 3.3 Coded Hate Speech Detection -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References. , Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation -- 1 Introduction -- 2 Backgrounds -- 2.1 Bayesian Inference -- 2.2 Bayesian Approach in Continual Learning -- 2.3 Gumbel Softmax and Categorical Reparameterization -- 3 Gaussian Mixture Approximation in Bayesian Inference for Continual Learning -- 3.1 Proposed Method -- 3.2 Dimension Reduction via Neural Matrix Factorization -- 4 Experiments -- 4.1 Task-Incremental with Multi-head Architecture -- 4.2 Task-Incremental with Single-Head Architecture -- 4.3 Task-Incremental with Data Overlapping -- 4.4 Additional Experiments About Dimension Reduction -- 5 Conclusion and Future Work -- References -- A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 The Addition of Classifier -- 3.2 Progressive Network -- 3.3 Manifold Regularization and Use of Generated Samples -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Comparison Methods -- 4.4 Experimental Results and Analysis -- 4.5 Parameters Sensitivity Analysis -- 5 Conclusion and Future Work -- References -- ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 2.1 Extreme Multi-label Text Classification -- 2.2 Data Augmentation in NLP -- 3 Method -- 3.1 Notations -- 3.2 Relevance Learning -- 3.3 Segments Memory Construction -- 3.4 Segments Replacement -- 4 Experiment -- 4.1 Datasets -- 4.2 Evaluation Measures -- 4.3 Baseline -- 4.4 Experiment Details -- 4.5 Comparison Results and Discussion -- 4.6 Analysis of Different Segment Numbers -- 4.7 Analysis of Maximum Number of Replacements -- 4.8 Analysis of Long Tail Labels -- 4.9 Effectiveness of Data Augmentaion -- 5 Conclusion -- References. , AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification -- 1 Introduction -- 2 Relate Work -- 3 Methodology -- 3.1 Time Series Classification Search Space -- 3.2 Optimization Procedure -- 4 Experiments -- 4.1 Experiment Setup and Details -- 4.2 Overall Results -- 4.3 Case Study -- 4.4 Ablation Studies -- 5 Conclusion -- References -- Aspect-Based Sentiment Analysis Through EDU-Level Attentions -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model: EDU-Attention -- 3.1 Model Overview -- 3.2 EDU Representation -- 3.3 Sentence Representation and Learning Objective -- 4 Experiments -- 4.1 Datasets and Baselines -- 4.2 Implementation and Parameter Setting -- 4.3 Comparison with Baselines -- 4.4 Ablation Study -- 4.5 Analysis of Sparse Attention -- 4.6 Model Size and Inference Time -- 5 Conclusion -- References -- Interconnected Neural Linear Contextual Bandits with UCB Exploration -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation and Background -- 4 The Interconnected Neural-Linear UCB Framework -- 5 Regret Analysis -- 6 Experiments -- 6.1 Experimental Setting -- 6.2 Results -- 7 Conclusion -- References -- Node Information Awareness Pooling for Graph Representation Learning -- 1 Introduction -- 2 Preliminaries -- 2.1 Notations and Problem Formulation -- 2.2 Graph Convolutional Neural Network -- 2.3 Self-attention Mechanism -- 3 NIAPool (Proposed Method) -- 3.1 Local Node Information Enhancement -- 3.2 Global Node Scoring Using NFAConv -- 3.3 Graph Coarsening -- 3.4 Model Architecture -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Q1: Comparison with Baseline Models -- 4.3 Q2: Effectiveness of D2T Attention -- 4.4 Q3: Effectiveness of NFAConv -- 5 Conclusion -- References -- dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy -- 1 Introduction -- 2 Related Work. , 3 Problem Formulation -- 4 Sensitivity Analysis -- 5 Proposed Approaches -- 5.1 Local Least Based Personalized Perturbation -- 5.2 Threshold Projection Based Personalized Perturbation -- 5.3 Sampling Based Personalized Perturbation -- 5.4 Aggregation Based Personalized Perturbation -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Results and Discussion -- 7 Conclusions and Future Work -- References -- Residual Vector Product Quantization for Approximate Nearest Neighbor Search -- 1 Introduction -- 2 Related Work -- 3 Residual Vector Product Quantization -- 3.1 Learning for Residual Hierarchy Structure -- 3.2 Encoding Algorithm -- 3.3 Learning for Transformation Matrix R -- 4 Experiment Results and Analysis -- 4.1 Parameters Setting for RVPQ -- 4.2 Comparison of Encoding Algorithms -- 4.3 Exhaustive ANN Search -- 4.4 Non Exhaustive Search Based on Inverted Multi-index -- 5 Conclusion -- References -- Data Removal from an AUC Optimization Model -- 1 Introduction -- 2 Preliminaries -- 3 Data Removal for AUC Optimization -- 3.1 Deal with High Dimension -- 4 Theoretical Results -- 5 Experiment -- 5.1 Benchmark Results -- 5.2 High-Dimensional Results -- 6 Conclusion -- A Analysis of DRAUC with High-Dimensional Data -- References -- Distributed Differentially Private Ranking Aggregation -- 1 Introduction -- 2 Preliminaries -- 2.1 Ranking Aggregation -- 2.2 Differential Privacy -- 2.3 Shuffle Model -- 3 Ranking Aggregation Algorithm Under DDP -- 3.1 Ranking Preference Collection -- 3.2 Shuffling -- 3.3 Ranking Aggregation -- 3.4 Privacy Guarantee -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Performance of DDP-Helnaksort -- 5 Conclusions -- References -- Semantics-Guided Disentangled Learning for Recommendation -- 1 Introduction -- 2 Preliminary and Related Work -- 3 Methodology -- 3.1 Graph Disentangling for Users Intents. , 3.2 Semantic-Aware Intent Representation Learning.

Note: Intro -- General Chairs' Preface -- PC Chairs' Preface -- Organization Committee -- Contents - Part III -- Applications -- NewsKVQA: Knowledge-Aware News Video Question Answering -- 1 Introduction -- 2 Related Work -- 3 NewsKVQA Dataset Curation -- 3.1 Initial Data Collection -- 3.2 Question Generation -- 3.3 Option Generation -- 3.4 Dataset Analysis -- 4 Knowledge-Aware Video QA Methodology -- 5 Experiments and Results -- 6 Conclusions and Future Work -- References -- Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation -- 1 Introduction -- 2 Related Work -- 3 The MultiGCN Model -- 3.1 Community Exploration -- 3.2 Local Recommendation -- 3.3 Decision Fusion -- 3.4 Optimization -- 4 Experiments -- 4.1 Experiment Datasets -- 4.2 Experimental Settings -- 4.3 Experiment Results -- 5 Conclusion -- References -- Deep Learning for Prawn Farming -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Overview -- 4 Methods -- 4.1 Forecasting -- 4.2 Anomaly Detection -- 5 Dataset, Preprocessing, and Evaluation -- 6 Forecasting Results -- 7 Anomaly Detection Case Studies -- 7.1 DO Crash Case Study -- 7.2 Sensor Biofouling Case Study -- 8 Summary and Conclusion -- References -- Input Enhanced Logarithmic Factorization Network for CTR Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Input and Embedding Layer -- 3.2 Input Enhanced Component -- 3.3 Hidden Layers -- 3.4 Prediction Score and Learning -- 3.5 Relationship with FM and HOFM -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Hyper-parameter Study -- 4.4 Ablation Study -- 4.5 Component Comparison -- 5 Conclusion -- References -- A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification -- 1 Introduction -- 2 Problem Formulation and Data Selection. , 2.1 Problem Formulation -- 2.2 Local Wind Data -- 2.3 Reanalysis Data -- 3 Method -- 3.1 Attention-Based Input Grouping -- 3.2 Transformer -- 3.3 Uncertainty Quantification -- 4 Experiments and Results -- 4.1 Experiment Setup -- 4.2 Ablation Studies -- 4.3 Comparative Results -- 5 Conclusions -- References -- Bribery in Rating Systems: A Game-Theoretic Perspective -- 1 Introduction -- 2 Profit Modeling on Data Observation -- 3 Static Game -- 3.1 Best Response -- 4 Conclusion -- References -- IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset: NSL-KDD Dataset Description -- 3.2 Data Preprocessing -- 3.3 Structure of IDSGAN -- 4 Empirical Evaluation -- 4.1 Experimental Setup -- 4.2 Effectiveness in Different Attack Categories -- 4.3 Robustness with Different Numbers of Modified Features -- 4.4 Baseline Comparisons -- 5 Conclusion and Future Work -- References -- Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers -- 1 Introduction -- 2 Problem Setup -- 2.1 Preliminaries -- 2.2 Problem Statement -- 3 Method -- 3.1 Overview of the Proposed Method (PIR) -- 3.2 Building a Population Causal Graph -- 3.3 Reverse Engineering Using Linear Interpolation -- 3.4 Building the Prediction Model -- 4 Setup for Empirical Evaluation -- 5 Australian Disability Employment Case Study -- 6 Experiments with Public Datasets -- 7 Practical Implication -- 8 Related Work -- 9 Conclusion and Future Work -- References -- Estimating Skill Proficiency from Resumes -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 3.1 Resume Information Model -- 3.2 Skill Proficiency Function -- 4 Skill Proficiency Estimation Techniques -- 4.1 B1: Ordinal Regression Clustering -- 4.2 B2: Supervised Linear Model. , 4.3 M1: Supervised Model with Constraints -- 4.4 M2: Weak Supervision Using Clustering -- 4.5 Handling New Skills -- 5 Resume Information Extraction -- 6 Experimental Analysis -- 6.1 Dataset -- 6.2 Evaluation Metrics and Results -- 7 Conclusions and Further Work -- References -- Causal Enhanced Uplift Model -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Proposed Method -- 5 Experiment -- 5.1 Datasets -- 5.2 Experiment Settings -- 5.3 Experimental Result Analysis -- 6 Conclusion -- References -- An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management -- 1 Introduction -- 2 Problem Definition -- 3 The POSIT Framework -- 3.1 Optimal Charging Capacity Estimation -- 3.2 Online Charging Scheduling -- 3.3 Interactive Arrangement Recommendation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Works -- 6 Conclusions -- References -- A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System -- 1 Introduction -- 2 Preliminaries -- 3 Stage 1: Next-Day Passenger Flow Prediction Model -- 3.1 Model Inputs Decomposing Component (DC1) -- 3.2 Self-attention-Based Prediction Component -- 3.3 Passenger Flow Reallocation Decomposing Component (DC2) -- 4 Stage 2: Real-Time Fine-Tuning Model -- 4.1 Fast Short-Term Fine-Tuning -- 4.2 Real-Time Adjustment for Interchange and Crowdedness -- 5 Experiments -- 5.1 Experimental Dataset and Setting -- 5.2 Benchmark Methods -- 5.3 The Evaluation of Next-Day Passenger Flow Prediction -- 5.4 The Evaluation of Real-Time Fine-Tuning -- 6 Conclusion -- References -- ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Incomplete Dental Model Completion -- 3.2 Surface Reconstruction -- 4 Experiments. , 4.1 Incomplete Dental Model Completion Results -- 4.2 Surface Reconstruction Results -- 5 Conclusion -- References -- BaDumTss: Multi-task Learning for Beatbox Transcription -- 1 Introduction -- 2 Related Work -- 2.1 Automatic Music Transcription -- 2.2 Input Audio Representation -- 2.3 Datasets for AMT -- 3 Proposed Dataset -- 3.1 Beatbox Sample Collection -- 3.2 Data Augmentation -- 3.3 Audio Sequence Generation -- 3.4 User Study on the Generated Audio Sequences -- 4 Proposed Methodology -- 4.1 Pretraining Unit -- 4.2 Bottled Sequence Traversal Unit -- 4.3 Multi-task Autoencoder Unit -- 4.4 Inference-Time MIDI Generation -- 5 Experimental Results -- 6 Error Analysis: BaDumTss vs. BaDumTss-NM -- 7 Conclusion -- References -- Detail Perception Network for Semantic Segmentation in Water Scenes -- 1 Introduction -- 2 Related Work -- 3 Distance Field Loss for Imbalance Problem -- 4 Detail Perception Network -- 4.1 Model Structure -- 4.2 Category Edge Perception Attention Module -- 4.3 Total Loss of DPNet -- 5 Experiments -- 5.1 Datasets -- 5.2 Ablation Study -- 5.3 Comparison with State-of-the-Arts -- 6 Conclusion -- References -- Learning Discriminative Representation Base on Attention for Uplift -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Proposed Method -- 4.1 Input Representation -- 4.2 Attention Network -- 4.3 Outcome Prediction Network -- 5 Experiments -- 5.1 Experimental Data -- 5.2 Implementation Details -- 5.3 Comparison Methods -- 5.4 Experimental Results -- 5.5 Effect of Attention Mechanism -- 6 Conclusion -- References -- Mental Health Treatments Using an Explainable Adaptive Clustering Model -- 1 Introduction -- 2 Related Work -- 3 Deep Adaptive Clustering Based on an Explainable Attention Network (EAN) -- 3.1 Psychometric Questionnaires (PQ) -- 3.2 Emotional Lexicon Used to Embed Words in Sentences -- 3.3 Dataset. , 3.4 Developed EANDC Model -- 4 Experimental Analytics -- 5 Conclusion -- References -- S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph -- 1 Introduction -- 2 Preliminaries -- 3 Method -- 3.1 The General Pipeline of the KGQA Model -- 3.2 S2QL -- 4 Experiments and Results -- 4.1 Setup -- 4.2 Results -- 4.3 Ablation Study -- 4.4 Case Study -- 5 Related Work -- 6 Conclusions and Future Works -- References -- Improve Chinese Spelling Check by Reevaluation -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Problem -- 3.2 The Pinyin Enhanced BERT -- 3.3 The Reevaluation Strategy -- 3.4 The Filter Guided by the Extended Confusion Set -- 4 Experiments -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Baselines -- 4.4 Main Results -- 5 Ablation Study -- 6 Case Study -- 7 Conclusion -- References -- Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification -- 1 Introduction -- 2 Related Works -- 2.1 Multi-task Learning -- 2.2 Extreme Multi-label Classification -- 3 Problem Formulation -- 4 The Proposed Model -- 4.1 Contextualized Term Representation -- 4.2 Coarse-Grained Product Classification -- 4.3 Fine-Grained Product Classification -- 4.4 Brand Classification -- 4.5 Loss Function -- 4.6 Online Inference -- 5 Experiments -- 5.1 Dateset -- 5.2 Evaluation Metrics -- 5.3 Main Results -- 5.4 Online A/B Tests -- 5.5 Ablation Studies -- 5.6 Visualization -- 6 Conclusion -- References -- Exploiting Spatial Attention and Contextual Information for Document Image Segmentation -- 1 Introduction -- 2 Related Works -- 3 New Framework for Document Image Segmentation -- 3.1 Feature Extraction Network -- 3.2 Pixel-wise Spatial Attention Module -- 3.3 Contextual Information Integration -- 4 Experimental Results -- 4.1 Implementation Details -- 4.2 Ablation Study. , 4.3 Comparisons Against State-of-the Art Methods.