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A decision tree-based classification model for crime prediction
- Nasridinov, Aziz;
- Ihm, Sun-Young;
- Park, Young-Ho
Citations
SCOPUS
38초록
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.
키워드
Classification; Crime prediction; Decision tree user experience; Classification models; Classification technique; Decision aids; Future trends; Law-enforcement agencies; Tree-based; User experience; Classification (of information); Crime; Data mining; Decision trees; Forecasting; Mathematical models; Robotics; Telecommunication services; Information technology
- 제목
- A decision tree-based classification model for crime prediction
- 저자
- Nasridinov, Aziz; Ihm, Sun-Young; Park, Young-Ho
- 발행일
- 2013-06
- 유형
- Conference Paper
- 권
- 253 LNEE
- 페이지
- 531 ~ 538
- 언어
- ENG
- 출판사
- Springer, Dordrecht
- 발행국가
- 독일
- 분량
- 8 페이지
- ISSN
- P 1876-1100