An association model for implicit crime link analysis

Authors:
Jau-Hwang Wang;Chien-Lung Lin
Affiliations:
Department of Information management, Central Police University, Taiwan, Tao-Yuan, Taiwan;Department of Information management, Central Police University, Taiwan, Tao-Yuan, Taiwan
Venue:
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Year:
2010

Citing 4
Cited 0

Automatic text processing: the transformation, analysis, and retrieval of information by computer

Automatic text processing: the transformation, analysis, and retrieval of information by computer
Data Mining Techniques: For Marketing, Sales, and Customer Support

Data Mining Techniques: For Marketing, Sales, and Customer Support
COPLINK: managing law enforcement data and knowledge

Communications of the ACM
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques

Quantified Score

Hi-index	0.00

Visualization

Abstract

Link analysis has been an important tool in crime investigation. Explicit social links, such as kinship, financial exchange, and telephone connection, are often used to construct links between criminals. However implicit links, such as modus operandi, times of day, and geographic relationship, are seldom used to establish relationships between crime entities. This paper proposes an association model based on modus operandi and geographic relationship to establish links among crime cases and criminals. A data collection from local police department is used for experiment to evaluate the performance of the proposed approach.