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An Outlier-based Data Association Method for Linking Criminal Incidents

9 years 3 months ago
An Outlier-based Data Association Method for Linking Criminal Incidents
Serial criminals are a major threat in the modern society. Associating incidents committed by the same offender is of great importance in studying serial criminals. In this paper, we present a new outlier-based approach to resolve this criminal incident association problem. In this approach, criminal incident data are first modeled into a number of cells, and then a measurement function, called outlier score function, is defined over these cells. Incidents in a cell are determined to be associated with each other when the score is significant enough. We applied our approach to a robbery dataset from Richmond, VA. Results show that this method can effectively solve the criminal incident association problem. D 2004 Published by Elsevier B.V.
Song Lin, Donald E. Brown
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where SDM
Authors Song Lin, Donald E. Brown
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