Mining police digital archives to link criminal styles with offender characteristics

Authors:
Richard Bache;Fabio Crestani;David Canter;Donna Youngs
Affiliations:
Department of Computer and Information Science, University of Strathclyde, Scotland;Department of Computer and Information Science, University of Strathclyde, Scotland;Centre for Investigative Psychology, England;Centre for Investigative Psychology, England
Venue:
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Year:
2007

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Abstract

The partial success in inferring the characteristics of offenders from their criminal behaviour ('offender profiling') has relied on limited data and subjective judgments. We therefore sought to determine if Information Retrieval techniques and in particular Language Modelling could be applied directly to existing police digital records of criminal events to identify significant characteristics of offenders. The categories selected were gender and age group. Results showed that distinct differences in characteristics do exist.