Analyzing Domestic Violence with Topographic Maps: A Comparative Study
Poelmans, Jonas Elzinga, Paul Viaene, Stijn Dedene, Guido Van Hulle, Marc M
Poelmans, Jonas
Elzinga, Paul
Viaene, Stijn
Dedene, Guido
Van Hulle, Marc M
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Publication Type
Conference Proceeding
Editor
Supervisor
Publication Year
2009
Journal
Lecture Notes in Computer Science
Book
Lecture Notes in Computer Science
Publication Volume
5629
Publication Issue
5629
Publication Begin page
246
Publication End page
254
Publication Number of pages
Collections
Abstract
Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the recent years, several variations on the Self Organizing Maps (SOM) were introduced in the literature. In this paper, the toroidal Emergent SOM tool and the spherical SOM are used to analyze a text corpus consisting of police reports of all violent incidents that occurred during the first quarter of 2006 in the police region Amsterdam-Amstelland (The Netherlands). It is demonstrated that spherical topographic maps provide a powerful instrument for analyzing this dataset. In addition, the performance of the toroidal Emergent SOM is compared to that of the spherical SOM, and it turned out to be superior to that of an ordinary classifier, applied directly to the data.
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Keywords
46 Information and Computing Sciences