DocumentCode
495486
Title
How Emergent Self Organizing Maps Can Help Counter Domestic Violence
Author
Poelmans, Jonas ; Elzinga, Paul ; Viaene, Stijn ; Van Hulle, Marc M. ; Dedene, Guido
Author_Institution
Fac. of Bus. & Econ., K.U. Leuven, Leuven, Belgium
Volume
4
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
126
Lastpage
136
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.
Keywords
cartography; data mining; police data processing; self-organising feature maps; classification accuracy; databases; domestic violence; emergent self organizing map; exploratory search instrument; knowledge discovery; police region Amsterdam-Amstelland; police report; topographic map; Computer science; Counting circuits; Data engineering; Databases; Engineering management; Instruments; Knowledge engineering; Knowledge management; Power generation economics; Self organizing feature maps; Emergent Self Organizing Maps; domestic violence; exploratory data analysis; knowledge discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.299
Filename
5170974
Link To Document