Casino Fraud Data Mining

نویسندگان

  • R. Woodley
  • W. Noll
چکیده

Average revenue per casino hotel resort per year is $87,887,253 [1]. This much revenue attracts fraud and criminals leading to millions in lost revenue [2]. Recently, casinos have begun to track patrons. Their vital statistics and spending habits are all recorded in massive databases. This, however, has led to the challenge of extracting the pertinent information from these data sets and how to connect actions to fraud in causal chains. As data becomes more prevalent, the need to link causal data into actionable information becomes paramount. Analysts are faced with mountains of data, and finding that piece of relevant information is the proverbial needle in a haystack, only with dozens of haystacks. Analysis tools that facilitate identifying causal relationships across multiple data sets are sorely needed. 21st Century Systems, Inc. (21CSI) has initiated research called Causal-View, a causal data-mining visualization tool, to address this challenge. Causal-View provides causal analysis tools to fill the gaps in the causal chain. We present here the Causal-View concept, the initial research into data mining tools that assist in forming the causal relationships, and our initial findings.

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تاریخ انتشار 2011