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

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.

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