Integrating data sources and network analysis tools to support the fight against organized crime

Abstract. We discuss how methods from social network analysis could be combined with methodologies from database mediator technology and information fusion in order to give police and other civil security decisionmakers the ability to achieve predictive situation awareness. Techniques based on these ideas have been demonstrated in the EU PASR project HiTS/ISAC.

Using four cost measures to determine arc reversal orderings

Abstract. Four cost measures s1,s2,s3,s4 were recently studied for sorting the operations in Lazy propagation with arc reversal (LPAR), a join tree propagation approach to Bayesian network inference. It has been suggested to use s1 with LPAR, since there is an effectiveness ranking, say s1,s2,s3,s4, when applied in isolation. In this paper, we also suggest to use s1 with LPAR, but to use s2 to break s1 ties, s3 to break s2 ties, and s4 to break s3 ties. Experimental results show that sometimes there is a noticeable gain to be made