DocumentCode
245669
Title
Research on Response Model of Data Mining
Author
Sheng Li ; Lili He ; Binfei Shao
fYear
2014
fDate
19-21 Dec. 2014
Firstpage
799
Lastpage
802
Abstract
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.
Keywords
data mining; attribute weights; data mining; predictive model; response model; utility function; Computational modeling; Data mining; Data models; Data warehouses; Equations; Mathematical model; Predictive models; data mining; market value function; negative cases; positive cases; response model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-7980-6
Type
conf
DOI
10.1109/CSE.2014.163
Filename
7023673
Link To Document