DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps

Paul Elzinga, Jonas Poelmans, Stijn Viaene, Guido Dedene

2009

Abstract

Over 90% of the case data from police inquiries is stored as unstructured text in police databases. We use the combination of Formal Concept Analysis and Emergent Self Organizing Maps for exploring a dataset of unstructured police reports out of the Amsterdam-Amstelland police region in the Netherlands. In this paper, we specifically aim at making the reader familiar with how we used these two tools for browsing the dataset and how we discovered useful patterns for labelling cases as domestic or as non-domestic violence.

Paper Citation

in Harvard Style

Elzinga P., Poelmans J., Viaene S. and Dedene G. (2009). DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 11-18. DOI: 10.5220/0001844400110018

in Bibtex Style

@conference{iceis09,
author={Paul Elzinga and Jonas Poelmans and Stijn Viaene and Guido Dedene},
title={DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={11-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001844400110018},
isbn={978-989-8111-85-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps
SN - 978-989-8111-85-2
AU - Elzinga P.
AU - Poelmans J.
AU - Viaene S.
AU - Dedene G.
PY - 2009
SP - 11
EP - 18
DO - 10.5220/0001844400110018