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DETECTING ANOMALIES IN WORK PRACTICE DATA BY COMBINING MULTIPLE DOMAINS OF INFORMATION
DETECTING ANOMALIES IN WORK PRACTICE DATA BY COMBINING MULTIPLE DOMAINS OF INFORMATION
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机译:通过组合多个信息域来检测工作实践数据中的异常
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摘要
One embodiment of the present invention provides a system for multi-domain clustering. During operation, the system collects domain data for at least two domains associated with users, wherein a domain is a source of data describing observable activities of a user. Next, the system estimates a probability distribution for a domain associated with the user. The system also estimates a probability distribution for a second domain associated with the user. Then, the system analyzes the domain data with a multi-domain probability model that includes variables for two or more domains to determine a probability distribution of each domain associated with the probability model and to assign users to clusters associated with user roles.
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