A method based on temporal concept analysis for detecting and profiling human trafficking suspects

Authors
Publication date 2010
Host editors
  • M.H. Hamza
Book title Proceedings of the tenth IASTED International Conference on Artficial Intelligence and Applications: February 15-17, 2010, Innsbruck, Austria
ISBN
  • 9780889868175
Event 10th IASTED International Conference on Artficial Intelligence and Applications (AIA 2010), Innsbruck, Austria
Pages (from-to) 330-338
Publisher Anaheim, CA: ACTA Press
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
Abstract
Human trafficking and forced prostitution are a serious problem for the Amsterdam-Amstelland police (the Netherlands). In this paper, we present a method based on Temporal Concept Analysis for detecting and profiling human trafficking suspects. Using traditional Formal Concept Analysis, we first build a lattice with early warning indicators to find persons who are potentially involved in human trafficking. These persons are then subjected to an in-depth investigation and we use Temporal Concept Analysis for constructing visual profiles of these suspects. Finally, the evolution of the social network surrounding these persons is visually analyzed using Temporal Concept Analysis.
Document type Conference contribution
Language English
Published at http://www.actapress.com/Abstract.aspx?paperId=37724
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