Applications of Data Mining Methods in the Evaluation of Client Credibility

Authors:
Yang Dong-Peng;Li Jin-Lin;Ran Lun;Zhou Chao
Affiliations:
School of Management Economics, Beijing Institute of Technology, Beijing 100081, China, E-mail: ydp@bit.edu.cn;School of Management Economics, Beijing Institute of Technology, Beijing 100081, China, E-mail: ydp@bit.edu.cn;School of Management Economics, Beijing Institute of Technology, Beijing 100081, China, E-mail: ydp@bit.edu.cn;School of Management Economics, Beijing Institute of Technology, Beijing 100081, China, E-mail: ydp@bit.edu.cn
Venue:
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Year:
2008

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Abstract

Client credibility plays an important role in the financial and banking industry. This paper combines C4.5 and Apriori algorithms in the data mining process and discusses the relationship between these two algorithms. It then tests them using the WEKA software to acquire information from the analysis of the historical data of credit card clients. Finally, it offers decision-making support for the evaluation of client credibility.