Abstract
In this report we present the results of the analysis of burglary data provided by Catalonian Police Department and we propose different approaches to derive predicting models, thus improving the algorithms that the police are now using. In particular we propose an algorithm to derive connections between different regions of Catalonia, that is to say, the goal is to detect if two given sets of burglaries which have taken place in regions that may be far away from each other have any relation at all, in the sense that when a burglary takes place in, for instance, region A, it is highly probable that burglaries in B will also take place.
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