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A decision tree-based classification model for crime prediction

Authors
Nasridinov A.Ihm S.-Y.Park Y.-H.
Issue Date
Jun-2013
Publisher
Springer, Dordrecht
Keywords
Classification; Crime prediction; Decision tree user experience
Citation
Lecture Notes in Electrical Engineering, v.253 LNEE, pp 531 - 538
Pages
8
Journal Title
Lecture Notes in Electrical Engineering
Volume
253 LNEE
Start Page
531
End Page
538
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/6517
DOI
10.1007/978-94-007-6996-0_56
ISSN
1876-1100
Abstract
The growing availability of information technologies has enabled law enforcement agencies to collect detailed data about various crimes. Classification techniques can be applied to these data to build decision-aid tools and facilitate investigations of law enforcement agencies. In this paper, we propose an approach for constructing a decision tree based classification model for a crime prediction. Proposed model assists law enforcement agencies in discovering crime patterns and predicting future trends. We provide an implementation and analysis of our proposed method. © 2013 Springer Science+Business Media Dordrecht.
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