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2011
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Towards discovering criminal communities from textual data

8 years 1 months ago
Towards discovering criminal communities from textual data
In many criminal cases, forensically collected data contain valuable information about a suspect’s social networks. An investigator often has to manually extract information from the collected text documents and enter it into a police database for further investigation with criminal network analysis tools. In this paper, we propose a method to discover criminal communities, to analyze the closeness of the members in the communities, and to extract useful information for crime investigation directly from the text documents. The proposed method, together with the implemented software tool, has received positive feedbacks from the digital forensics team of a law enforcement unit in Canada. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications— data mining; I.7.5 [Document and Text Processing]: Document Capture—document analysis; K.4.2 [Computers and Society]: Social Issues—abuse and crime involving computers Keywords Forensic analysis, data mining,...
Rabeah Al-Zaidy, Benjamin C. M. Fung, Amr M. Youss
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SAC
Authors Rabeah Al-Zaidy, Benjamin C. M. Fung, Amr M. Youssef
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