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Criminal Incident Data Association Using the OLAP Technology

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2665)

Abstract

Associating criminal incidents committed by the same person is important in crime analysis. In this paper, we introduce concepts from OLAP (online-analytical processing) and data-mining to resolve this issue. The criminal incidents are modeled into an OLAP data cube; a measurement function, called the outlier score function is defined on the cube cells. When the score is significant enough, we say that the incidents contained in the cell are associated with each other. The method can be used with a variety of criminal incident features to include the locations of the crimes for spatial analysis. We applied this association method to the robbery dataset of Richmond, Virginia. Results show that this method can effectively solve the problem of criminal incident association.

Keywords

Criminal incident association OLAP outlier 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  1. 1.Department of Systems and Information EngineeringUniversity of VirginiaUSA

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