Event-based Approach to Money Laundering Data Analysis and Visualization
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 users 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.
crime detection money laundering event-based data analysis visualization
Tat-Man Cheong Yain-Whar Si
Faculty of Science and Technology University of Macau
国际会议
The 3rd Visual Information Communication-International Symposium(第三届视觉信息通信国际研讨会VINCI 2010)
北京
英文
123-132
2010-09-28（万方平台首次上网日期，不代表论文的发表时间）