Text mining and recommender systems for predictive policing

Percy, Isabelle, Balinsky, Alexander ORCID: https://orcid.org/0000-0002-8151-4462, Balinsky, Helen ORCID: https://orcid.org/0000-0002-8151-4462 and Simske, Steve 2018. Text mining and recommender systems for predictive policing. Presented at: DocEng 18: 18th ACM Symposium on Document Engineering, Halifax, Nova Scotia, Canada, 28-31 August 2018. Proceedings of the ACM Symposium on Document Engineering 2018. Association for Computing Machinery Inc, p. 15. 10.1145/3209280.3229112

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Abstract

We present some results from a joint project between HP Labs, Cardiff University and Dyfed Powys Police on predictive policing. Applications of the various techniques from recommender systems and text mining to the problem of crime patterns recognition are demonstrated. Our main idea is to consider crime records for different regions and time period as a corpus of text documents with words being crime types. We apply tools from NLP and text documents classifications to analyse different regions in time and space. We evaluate performance of several measures of similarity for texts and documents clustering algorithms.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Mathematics
Publisher:	Association for Computing Machinery Inc
ISBN:	9781450357692
Funders:	EPSRC
Date of First Compliant Deposit:	15 June 2018
Last Modified:	14 Oct 2026 10:16
URI:	https://orca.cardiff.ac.uk/id/eprint/112506

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