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APPLYING MACHINE LEARNING TO LEARN RELATIONSHIP WEIGHTAGE IN RISK NETWORKS
APPLYING MACHINE LEARNING TO LEARN RELATIONSHIP WEIGHTAGE IN RISK NETWORKS
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机译:应用机器学习学习风险网络中的关系权重
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摘要
A computer-implemented system, method and computer program product for detecting fraud. The system and method receives data representing transacting parties where a party transacts with another party to define a relationship therebetween. The received data is incorporated into a relationship network graph comprising nodes that capture data about transacting parties and corresponding information associated with each transaction. A risk model is run that is configured to determine a risk weight for the relation between nodes associated with the transacting parties based on the data captured in the relationship network graph. Then there is determined a degree of a party's association score based on risk scores of nodes associated with the party and a defined relationship with another suspicious party. The system then dynamically updates the risk weight of the relation based on the party's association score.
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