Kamel AHSENE DJABALLAH

Laboratory of Computer Systems 

University Science and Technology Houari Boumediene

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Abstract

 Social network analysis techniques for activities related to terrorism are mainly based on data mining techniques. These techniques do not take into account the various axes of analysis allowing a study according to several facets. In this article we propose a comparison study of these techniques. We present our approach of analyzing these activities, based on Data warehouse and OLAP analysis. We aim to improve the analysis of these...

 

 Télécharger l'article : Datawarehouse-based approach for the analysis of terrorism-related activities in social networks