A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence
Poelmans, Jonas Elzinga, Paul Viaene, Stijn Dedene, Guido
Poelmans, Jonas
Elzinga, Paul
Viaene, Stijn
Dedene, Guido
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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
5633
Publication Issue
5633
Publication Begin page
247
Publication End page
260
Publication Number of pages
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Abstract
In this paper, we propose a framework for iterative knowledge discovery from unstructured text using Formal Concept Analysis and Emergent Self Organizing Maps. We apply the framework to a real life case study using data from the Amsterdam-Amstelland police. The case zooms in on the problem of distilling concepts for domestic violence from the unstructured text in police reports. Our human-centered framework facilitates the exploration of the data and allows for an efficient incorporation of prior expert knowledge to steer the discovery process. This exploration resulted in the discovery of faulty case labellings, common classification errors made by police officers, confusing situations, missing values in police reports, etc. The framework was also used for iteratively expanding a domain-specific thesaurus. Furthermore, we showed how the presented method was used to develop a highly accurate and comprehensible classification model that automatically assigns a domestic or non-domestic violence label to police reports.
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Keywords
4605 Data Management and Data Science, 46 Information and Computing Sciences, 4602 Artificial Intelligence