ITEM METADATA RECORD
Title: Detecting domestic violence
Other Titles: Showcasing a knowledge browser based on formal concept analysis and emergent self organizing maps
Authors: Elzinga, Paul
Poelmans, Jonas
Viaene, Stijn
Dedene, Guido
Issue Date: May-2009
Publisher: Springer
Host Document: Proceedings of the 11th International Conference on Enterprise Information Systems, Volume AIDSS pages:11-18
Conference: International Conference on Enterprise Information Systems (ICEIS-2009) edition:11 location:Milan (Italy) date:6-10 May 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.
ISBN: 978-989-8111-85-2
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven

Files in This Item:
File Description Status SizeFormat
ICEIS.pdfDetecting domestic violence Published 1418KbAdobe PDFView/Open

 


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

© Web of science