A Study Of Using Big Data And Call Detail Records For Criminal Investigation
Abstract
In this paper we propose a new model to see how graph technologies can be used to analyze Call Detail Records (CDR) in order to find potential criminals. We face the challenging task of automatically deriving meaningful information from the available data, by using an unsupervised procedure of data analysis and without including in the model and a priori knowledge on the applicative context. Therefore, in this paper a big date technology (Neo4j) used to analyze the users’ behaviors in order to detect abnormal behavior which might help the investigators to find the criminals.
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