Introduction to algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis
Mining for offender group detection and story of a police operation
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Comparing Two Models for Terrorist Group Detection: GDM or OGDM?
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Knowledge Discovery for Counterterrorism and Law Enforcement
Knowledge Discovery for Counterterrorism and Law Enforcement
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Combined detection model for criminal network detection
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
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Existing literature shows that social demographics features of criminal network members are important. Examples include similarity on kinship, coming from the same family, the same ethnic origin or hometown, and living in the same neighborhoods. This paper investigates whether these social similarity features can be used for detecting members of criminal networks. We developed XSDM (Extended Social Detection Model), which removes some of the weaknesses of its predecessor SODM (Social Detection Model) by adding the attribute of living in the same neighborhood in addition to having the same surname and coming from the same hometown. XSDM is tested on the Diyarbakir dataset, containing 221 drug dealing networks. XSDM detected 81 out of 221 drug dealing networks using social demographic features of individual criminals. XSDM is evaluated by recall and precision values which performed better its predecessor SODM.