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SUPERVISED LEARNING SYSTEM FOR IDENTITY COMPROMISE RISK COMPUTATION
SUPERVISED LEARNING SYSTEM FOR IDENTITY COMPROMISE RISK COMPUTATION
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机译:监督身份妥协风险计算的学习系统
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摘要
Systems are provided for improving computer security systems that are based on user risk scores. These systems can be used to improve both the accuracy and usability of the user risk scores by applying multiple tiers of machine learning to different the user risk profile components used to generate the user risk scores and in such a manner as to dynamically generate and modify the corresponding user risk scores.
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