An organized method for criminal networks web mining from unstructured text documents

Armita ABARGHOEI, Ebrahim MAHDIPOUR, Majid ASKARZADEH, Mohammad Javad GOLKAR
1.566 449

Abstract


Abstract

Digital data collected for analysis at the interrogation, often contain valuable information about social networks of the suspect. Most collected records, such as emails, chats and text documents are in form of non-organized text data. A user must manually extract useful information from the text, and gather key parts in an organized database for further investigations of the criminal networks using analysis tools. It is Obvious that this process of data mining is boring along with a possibility of errors. In addition, the quality of the analysis depends on the experience and skills of the human user. This paper presents an organized method for automatic discovery of criminal networks using a set of text documents obtained from suspect devices through web mining techniques. Thus useful information about the suspected criminal network will be extracted. Our proposed method discovers direct and indirect relationships between members of criminal groups.


Keywords


Digital data, web mining, criminal networks, text documents

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References


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