Research On Response Model Of Data Mining

被引：0

作者：

Li, Sheng ^{[1
]}

He, Lili ^{[1
]}

Shao, Binfei ^{[2
]}

机构：

[1] Zhejiang Sci Tech Univ, Coll Informat & Elect, Hangzhou, Zhejiang, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu, Sichuan Provinc, Peoples R China

来源：

2014 IEEE 17th International Conference on Computational Science and Engineering (CSE) | 2014年

关键词：

response model; data mining; market value function; positive cases; negative cases;

D O I：

10.1109/CSE.2014.163

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Response model is one of the most frequently used predictive model. So I make a comprehensive introduction about basic concepts, key functions and main contents of response model and evaluated the model. Through design for utility function and attribute weights to get market value function. In this progress, positive cases and negative cases must be considered. Calculating market value can help enterprises to sort the customers.

引用

页码：793 / 796

页数：4