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Conference Paper Application of Data Mining for Crime Analysis
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Authors
Aziz Nasridinov, Jeong-Yong Byun, Namkyoung Um, HyunSoon Shin
Issue Date
2015-05
Citation
International Conference on Future Information Technology (FutureTech) 2015 (LNEE 354), v.354, pp.503-508
ISSN
1876-1100
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-662-47895-0_61
Abstract
Data mining can be considered as a powerful tool that enables low enforcement and emergency agencies to discovery meaningful patterns in a large amount of danger situation. In this paper, we propose a data mining framework for predicting crimes. The proposed framework consists of the following modules: test data generation, classification, clustering and data ranking. We performed the experiments using various datasets in order to determine which one is potentially best for performing crime pattern prediction task.
KSP Keywords
Crime Pattern, Data mining(DM), Pattern prediction, Test Data Generation, analysis data, crime analysis