Attribute reduction of rough sets in mining market value functions

作者：Huang Jiajin; Liu Chunnian; Ou Chuangxin; Yao Y Y; Zhong N

来源：IEEE/WIC International Conference on Web Intelligence, WI 2003, 2003-10-13 to 2003-10-17.

DOI：10.1109/WI.2003.1241242

• Attribute reduction
• Boosting
• Boosting algorithm
• Direct marketing
• Large database
• Linear modeling
• Market value function
• Predictive models

The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions.

• 出版日期2003
• 单位北京大学