Class Labeling of Bank Credits Customers Using AHP and SAW for Credit Scoring with Data Mining Algorithms

摘要：

One of the most important parts in credit scoring is determining the class of customers to run the Data Mining Classification algorithms. The purpose of this research is allocating the Labels of Credit customers with using of AHP and SAW methods. Here, in the first step, each customer is labeled by AHP and SAW and then the data mining algorithms are run. In this way, via this method the acquired results of data mining algorithms can be improved. The presented steps have been studied in an Iranian Bank as empirical study.

关键词： Data Mining Credit Scoring Classification Labeling SAW, AHP

作者: Ahmad Nadali Sanaz Pourdarab Hamid Eslami Nosratabadi

作者单位: Department of Information Technology Management, Science and Research Branch, Islamic Azad Universit Member of Young Researchers Club, Science and Research Branch, Islamic Azad University, Tehran, Iran

会议类型: 国际会议

会议名称: 2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

会议地点: 三亚

会议语种:英文

页码: 228-232

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）