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Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers

Volume 4822 of the series Lecture Notes in Computer Science pp 493-494

Mining Police Digital Archives to Link Criminal Styles with Offender Characteristics

  • Richard BacheAffiliated withDepartment of Computer and Information Science, University of Strathclyde
  • , Fabio CrestaniAffiliated withDepartment of Computer and Information Science, University of Strathclyde
  • , David CanterAffiliated withCentre for Investigative Psychology
  • , Donna YoungsAffiliated withCentre for Investigative Psychology

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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.

Keywords

Document Classification Text Data Mining Language Models Crime Data Investigative Psychology Offender Profiling