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  • Hindawi Limited  (3)
  • Economics  (3)
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  • Hindawi Limited  (3)
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  • Economics  (3)
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  • 1
    Online Resource
    Online Resource
    The Optimized Anomaly Detection Models Based on an Approach of Dealing with Imbalanced Dataset for Credit Card Fraud Detection
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-4-25), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-4-25), p. 1-10
    Abstract: Credit card fraud is a major problem in today’s financial world. It induces severe damage to financial institutions and individuals. There has been an exponential increase in the losses due to fraud in recent years. Hence, effectively detecting fraudulent behavior is of vital importance for either financial institutions or individuals. Since credit fraud events account for a small proportion of all transaction events in real life, the datasets about credit fraud are usually imbalanced. Some common classifiers, such as decision tree and naïve Bayes, are unable to detect fraud. Furthermore, in some cases, traditional strategies for dealing with an imbalanced problem, such as the synthetic minority oversampling technique (SMOTE), are not effective for the fraud detection datasets. To accurately detect fraud behavior, this study uses anomaly detection on imbalanced data, as well as Isolation Forest (IForest) with kernel principal component analysis. A one-class support vector machine (OCSVM) with AdaBoost is used as two models to detect outliers which significantly improves detection accuracy and efficiency. The model achieved 96% accuracy, 100% precision, 96% recall, and 98% F 1 score, respectively. The proposed model is expected to become a helpful tool for finding credit card fraud detection, and the analysis presented in this study will provides useful insights into credit card fraud detection mechanisms.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/8027903
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    2D-DOA and Mutual Coupling Estimation in Vehicle Communication System via Conformal Array
    Hindawi Limited ; 2015
    In:  Mobile Information Systems Vol. 2015 ( 2015), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2015 ( 2015), p. 1-10
    Abstract: Many direction-of-arrival (DOA) estimation algorithms have been proposed recently. However, the effect of mutual coupling among antenna elements has not been taken into consideration. In this paper, a novel DOA and mutual coupling coefficient estimation algorithm is proposed in intelligent transportation systems (ITS) via conformal array. By constructing the spectial mutual coupling matrix (MCM), the effect of mutual coupling can be eliminated via instrumental element method. Then the DOA of incident signals can be estimated based on parallel factor (PARAFAC) theory. The PARAFAC model is constructed in cumulant domain using covariance matrices. The mutual coupling coefficients are estimated based on the former DOA estimation and the matrix transformation between MCM and the steering vector. Finally, due to the drawback of the parameter pairing method in Wan et al., 2014, a novel method is given to improve the performance of parameter pairing. The computer simulation verifies the effectiveness of the proposed algorithm.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    URL: Article
    DOI: 10.1155/2015/841341
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    New Model of Food Supply Chain Finance Based on the Internet of Things and Blockchain
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-7-29), p. 1-8
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-7-29), p. 1-8
    Abstract: The grain supply chain not only broadens the financing channels for small and medium-sized enterprises in the supply chain and strengthens the cohesion of the supply chain but also opens up new business models and sources of profit for commercial banks. This article aims to study the use of advanced information technologies such as mobile Internet, Internet of Things (IoT) transmission, BT, and other advanced information technologies to design intelligent grain depot integrated systems based on the IoT technology, in accordance with the principles of practicality and advancement, to realize the informatization of the daily management of the grain depot and provide construction experience for the informatization construction of the food industry. This article proposes a detailed summary of several models of agricultural supply chain finance from the perspective of supply chain management and analyzes the applicable conditions and basic processes of these models. It also analyzes the structure of the agricultural supply chain through typical cases, introduces the operation of supply chain finance, and evaluates and analyzes its effectiveness and problems. The experimental results in this paper show that, compared with other storage methods, this solution has obvious advantages in data query efficiency and data storage cost. Without a central server, the entire distributed system will have a certain degree of efficiency, reliability, and cost-effectiveness. When the amount of grain data reaches 100,000, 1 million, and 10 million, the system data integrity check time is 0.0263 seconds, 0.3251 seconds, and 1.5032 seconds, respectively. The program seems very useful.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2021/7589964
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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