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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Bache, R., Crestani, F., Canter, D., & Youngs, D. (2007). Mining police digital archives to link criminal styles with offender characteristics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4822 LNCS, pp. 493–494). Springer Verlag. https://doi.org/10.1007/978-3-540-77094-7_63
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