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Machine Learning for Crime Series Detection

 

Many crimes can happen every day in a major city, and figuring out which ones are committed by the same individual or group is an important and difficult data mining challenge. To do this, we propose a pattern detection method called Series Finder. Series Finder incorporates both the common characteristics of all patterns and the unique aspects of each specific pattern. This is joint work between MIT and the Cambridge Police Department.
 
Learning to Detect Patterns of Crime. Proceedings of ECML-PKDD.
 
This work was featured in the Boston Globe on August 4 2013, and the Times of London on August 6, 2013.
 
 
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