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Event-based approach to money laundering data analysis and visualization
Tat-Man Cheong; Yain-Whar Si
2010-12-13
Conference NameProceedings of the 3rd International Symposium on Visual Information Communication
Source PublicationVINCI 2010: 3rd Visual Information Communication - International Symposium
Conference DateSeptember 28 - 29, 2010
Conference PlaceBeijing, China
Abstract

Crime specific event patterns are crucial in detecting potential relationships among suspects in criminal networks. However, current link analysis tools commonly used in detection do not utilize such patterns for detecting various types of crimes. These analysis tools usually provide generic functions for all types of crimes and heavily rely on the user's expertise on the domain knowledge of the crime for successful detection. As a result, they are less effective in detecting patterns in certain crimes. In addition, substantial effort is also required for analyzing vast amount of crime data and visualizing the structural views of the entire criminal network. In order to alleviate these problems, an event-based approach to money laundering data analysis and visualization is proposed in this paper. The effectiveness of the proposed method is demonstrated on a money laundering case from Taiwan. Copyright © 2010 ACM.

KeywordCrime Detection Event-based Data Analysis Money Laundering Visualization
DOI10.1145/1865841.1865869
URLView the original
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology University of Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Tat-Man Cheong,Yain-Whar Si. Event-based approach to money laundering data analysis and visualization[C],2010.
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