In:
Inteligencia Artificial, IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial, Vol. 24, No. 67 ( 2021-04-26), p. 121-128
Abstract:
In the world and some countries like Colombia, the number of missing person is a phenome very worrying and growing, every year, thousands of people are reported missing all over the world, the fact that this keeps happening might indicate that there are still analyses that have not been done and tools that have not been considered in order to find patterns in the information of missing person. The present article presents a study of the way informatics and computational tools can be used to help find missing person and what patterns can be found in missing person datasets using as a study case open data about missing person in Colombia in 2017. The goal of this study is to review how computational tools like data mining and image analysis can be used to help find missing person and draw patterns in the available information about missing person. For this, first it will be review of the state of art of image analysis in real world applications was made in order to explore the possibilities when studying the photos of missing person, then a data mining process with data of missing person in Colombia was conducted to produce a set of decision rules that can explain the cause of the disappearance, as a result is generated decision rules algorithm suggest links between socioeconomic stratification, age, gender and specific locations of Colombia and the missing person reports. In conclusion, this work reviews what information about missing person is available publicly and what analysis can me made with them, showing that data mining and face recognition can be useful tools to extract patterns and identify patterns in missing person data.
Type of Medium:
Online Resource
ISSN:
1988-3064
,
1137-3601
DOI:
10.4114/intartif.vol24iss67
DOI:
10.4114/intartif.vol24iss67pp121-128
Language:
Unknown
Publisher:
IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial
Publication Date:
2021
detail.hit.zdb_id:
2133836-X
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