Title :
Research on Response Model of Data Mining
Author :
Sheng Li ; Lili He ; Binfei Shao
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;
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.163
