Title: Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence
Authors: Poelmans, Jonas ×
Van Hulle, Marc
Viaene, Stijn
Elzinga, Paul
Dedene, Guido #
Issue Date: Jun-2011
Publisher: Elsevier Science, B.V.
Series Title: Applied Soft Computing vol:11 issue:4 pages:3870-3876
Abstract: In this paper we compare the usability of ESOM and MDS as text exploration instruments in police investigations. We combine them with traditional classification instruments such as the SVM and Naïve Bayes. We perform a case of real-life data mining using a dataset consisting of police reports describing a wide range of violent incidents that occurred during the year 2007 in the Amsterdam-Amstelland police region (The Netherlands). We compare the possibilities offered by the ESOM and MDS for iteratively enriching our feature set, discovering confusing situations, faulty case labelings and significantly improving the classification accuracy. The results of our research are currently operational in the Amsterdam-Amstelland police region for upgrading the employed domestic violence definition, for improving the training of police officers and for developing a highly accurate and comprehensible case triage model.
ISSN: 1568-4946
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
Research Center for Management Informatics (LIRIS), Leuven
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
version_2011 Applied Soft Computing_Van Hulle.pdfMain article Published 606KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science