How Emergent Self Organizing Maps can help counter domestic violence
Poelmans, Jonas Elzinga, Paul Viaene, Stijn Viaene, Stijn Van Hulle, Marc M Dedene, Guido Dedene, Guido
Poelmans, Jonas
Elzinga, Paul
Viaene, Stijn
Viaene, Stijn
Van Hulle, Marc M
Dedene, Guido
Dedene, Guido
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Publication Type
Conference Proceeding
Editor
Supervisor
Publication Year
2009-03-01
Journal
Book
2009 WRI World Congress on Computer Science and Information Engineering
Publication Volume
4
Publication Issue
Publication Begin page
126
Publication End page
136
Publication Number of pages
Collections
Abstract
Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the past years, new types of Self Organizing Maps (SOM) were introduced in the literature, including the recent Emergent SOM. The ESOM is used to study a large set of police reports describing a whole range of violent incidents that occurred during the year 2007 in the police region Amsterdam-Amstelland (the Netherlands). It is demonstrated that it provides an exploratory search instrument for examining unstructured text in police reports. First, it is shown how the ESOM was used to discover a whole range of new features that better distinguish domestic from non-domestic violence cases. Then, it is demonstrated how this resulted in a significant improvement in classification accuracy. Finally, the ESOM is showcased as a powerful instrument for the domain expert interested in an in-depth investigation of the nature and scope of domestic violence.
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Keywords
48 Law and Legal Studies, 4805 Legal Systems, 4402 Criminology, 44 Human Society