Abstract:
According to the characteristics of commercial bank credit assets quality audit,the research constructs the commercial bank credit assets quality audit attribute selection,decision tree,support vector machines and other data mining algorithms.Based on the actual data of A bank to public credit,we use qualitative economic meaning and quantitative attribute selection algorithm to analyze its attribute selection.In addition,we accomplish the data pretreatment combined with the characteristics of data in commercial bank database.Based on this,we carry out analysis of association rules and classification pattern mining.Finally Through the application of audit practice in A bank ,we identify credit record that affects the quality of the bank's assets and achieve tangible results.
吕劲松, 王志成, 隋学深, 徐权. 基于数据挖掘的商业银行对公信贷资产质量审计研究[J]. 金融研究, 2016, 433(7): 150-159.
LV Jinsong, WANG Zhicheng, SUI Xueshen, XU Quan. Study on Commercial Banks'Quality Audit of Public Credit Assets: Based on Data Mining. Journal of Financial Research, 2016, 433(7): 150-159.
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