A Knowledge Discovery Approach to Supporting Crime Prevention

DOI

10.2991/jcis.2006.146How to use a DOI?

Keywords

Trend discovery, crime prevention,self-organizing map, fuzzy theory.

Abstract

The main objective of this study is developing a linguistic cluster model in order to meet the public security index requirement and extract crime rule in time series. In contrast to the current studies in crime theory which mostly rely on traditional behavior science, we turned to a hybrid approach to overcome the hurdle of linguistic clustering in original SOM model.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sheng-Tun Li
AU  - Fu-Ching Tsai
AU  - Shu-Ching Kuo
AU  - Yi-Chung Cheng
PY  - 2006/10
DA  - 2006/10
TI  - A Knowledge Discovery Approach to Supporting Crime Prevention
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.146
DO  - 10.2991/jcis.2006.146
ID  - Li2006/10
ER  -