DEVELOPMENT OF ENHANCED BAYESIAN MODEL FOR DETECTION OF COVERT MEMBERS IN CRIMINAL NETWORKS USING TELECOMMUNICATION METADATA
ABSTRACT Crime has become a global challenge in recent times. The phenomenon has become a difficult task that military war-fare approach alone can address effectively without intelligence. Criminal intelligence involves gathering data on criminal activities and participants for preparing deplorable strategies and interventions.  Social  Network  Analysis (SNA)  offers supportive  tools for  analysing  Organised Criminal Groups (OCGs) and identifying important nodes with conspicuous relationship as its priority. SNA-based techniques arrived at ...
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