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Crime is classically "unpredictable". It is not necessarily random, but neither does it take place consistently in space or time. A better theoretical understanding is needed to facilitate practical crime prevention solutions that correspond to specific places and times. In this study, we discuss the preliminary results of a crime forecasting model developed in collaboration with the police department of a United States city in the Northeast. We first discuss our approach to architectingdoi:10.1109/icdmw.2011.56 dblp:conf/icdm/YuWMD11 fatcat:4y6qn6g3ojhorprlstcnheh6xq