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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