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Crime Forecasting Using Data Mining Techniques
2011 IEEE 11th International Conference on Data Mining Workshops
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