DocumentCode :
2876079
Title :
An Association Model Based on Modus Operandi Mining for Implicit Crime Link Construction
Author :
Wang, Jau-Hwang ; Lin, Chien-Lung
Author_Institution :
Dept. of Inf. Manage., Central Police Univ., Taoyuan, Taiwan
fYear :
2011
fDate :
25-27 July 2011
Firstpage :
548
Lastpage :
550
Abstract :
Link analysis has been an important tool in crime investigation. Explicit or implicit social links, such as kinship, financial exchange, telephone connection, links derived from modus operandi, time of day, and geographic relationship, are often used to construct links between criminals. This paper proposes an association model based on modus operandi mining to establish links among crime cases and chronic criminals. Two data sets of robbery and residential burglary crime records were collected from a local police department and were used for experiment to evaluate the performance of the proposed approach.
Keywords :
data mining; police data processing; social networking (online); association model; chronic criminals; crime investigation; data sets; explicit social links; implicit social links; local police department; modus operandi mining; residential burglary crime; robbery; Computational modeling; Data mining; Information entropy; Presses; Probability distribution; Random variables; Social network services; Crime Association Model; Implicit Link Mining; Information Entropy; Modus Operandi;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
Type :
conf
DOI :
10.1109/ASONAM.2011.34
Filename :
5992658
Link To Document :
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