Using unsupervised machine learning to find profiles of domestic abuse perpetrators

Katerina Hadjimatheou · Alejandro Flores · Ruth Weir · Taylor Skevington

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Intimate Partner and Family Violence Crime Patterns and Interventions Data Mining and Machine Learning Applications

Abstract

Abstract In this article we use unsupervised machine learning to discover hidden structures and patterns in a longitudinal police dataset of domestic abuse suspects, to provide a police force with an overarching or ‘baseline’ picture of how domestic abuse manifests locally. 3 algorithms were used to analyse 12 variables in a longitudinal dataset of over 40,000 suspects, organising them into discreet “clusters” or profiles with common characteristics and highlighting the differences and continuities between these. The quantitative findings, which highlighted clusters of abuse that had not previously been ‘on the radar’ of domestic abuse services in the specific force area, were then contextualised through qualitative interviews with a range of stakeholders to help identify priorities for intervention and further research. Our study shows how cutting-edge quantitative methods can be applied to improve understanding of prevalence and features of police-recorded abuse; draw attention to previously under-addressed types of abuse; serve as the groundwork for further, more in-depth research; and provide an evidence-base for local decision-making.

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1994Typologies of male batterers: Three subtypes and the differences among them.2009A typology of domestic violence: intimate terrorism, violent resistance, and situational couple violence 2002REASONS FOR REPORTING AND NOT REPORTING DOMESTIC VIOLENCE TO THE POLICE*2004A Brief Actuarial Assessment for the Prediction of Wife Assault Recidivism: The Ontario Domestic Assault Risk Assessment.1992A typology of men who batter: Three types derived from cluster analysis.1998Domestic Violence: Findings from a new British Crime Survey self-completion questionnaire 2003Toward a Typology of Abusive Women: Differences Between Partner-Only and Generally Violent Women in the Use of Violence 2017Sixty years of child-to-parent abuse research: What we know and where to go

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