Applying Fuzzy Decision Tree to Infer Abnormal Accessing of Insurance Customer Data
Insurance has become an important way of invest-ment, savings and risk management Abnormal accessing of customer data has recognized a big problem to cause the loss of insurance companies benefits and reputation. In this paper, we analyze the behavior of abnormal accessing from the operational records of operators in order to detect the possibilities of the abuse of customer data. An algorithm of fuzzy decision tree was used to classify the categories of operators behavior and conduct the report of abnormal accessing. It offers decision-making support for the related management. After testing experiments, our approach is more effective and efficient than the current approach which manually determines the abnormal behavior by employees.
Abnormal access data mining fuzzy decision tree information leakage
Chih-Cheng Lien Chi-Chuan Ho Yu-Ming Tsai
Department of Computer Science and Information Management Soochow University, Taipei, Taiwan
国际会议
上海
英文
826-830
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）