Application of Decision Tree Classification in Classification of Credit Card Customers
With the development of society, data of all trades and professions is increasing rapidly. Technology of data mining can help people to find useful information from a great deal of data. The paper applies decision tree classification into the data mining of the personal credit database information of commercial banks. On the basis of original data preprocessing, the paper adopts the ID3 algorithm to calculate training samples and focus on all kinds of attributes to set up a decision tree of reliability assessment. As a result, classification of credit card customers is better completed.
data mining classification decision tree the ID3 algorithm credit
ZHANG Peiqiang
Department of Applied Mathematics, Shanxi University of Finance and Economics P.R. China, 030006
国际会议
The International Conference on Management of Technology,taiyuan 2009(2009太原技术管理国际研讨会)
太原
英文
531-533
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）