ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Application of Data Mining for Crime Analysis
Cited 2 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
Aziz Nasridinov, 변정영, 엄남경, 신현순
발행일
201505
출처
International Conference on Future Information Technology (FutureTech) 2015 (LNEE 354), v.354, pp.503-508
ISSN
1876-1100
DOI
https://dx.doi.org/10.1007/978-3-662-47895-0_61
초록
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.
키워드
Danger situation dataset, Data mining framework, Performance Evaluation
KSP 제안 키워드
Crime Pattern, Data mining(DM), Pattern prediction, Performance evaluation, Test Data Generation, analysis data, crime analysis