Title :
Research and Implementation of Predictive Modeling Based on Logistic Regression Modeling: About Possibility of Customer to Buy a Tablet PC
Author :
Zhang, Weina ; Feng, Shuang ; Li, Hua
Author_Institution :
Comput. NIC Center, Commun. Univ. of China, Beijing, China
Abstract :
In order to provide marketing support for online shop owner, this paper describes how to analyze historical data of online shop customer behaviors by data mining, and establishes logistic predictive modeling by SAS, then predicts whether customers purchase a Tablet PC online shop. Practice has proved that data mining techniques and predictive regression modeling can be effectively integrated in the application system, and the predictive modeling can predict the possibility of customers to buy goods. Also the predictive modeling has usability and availability.
Keywords :
consumer behaviour; data mining; electronic commerce; notebook computers; regression analysis; SAS; data mining; historical data; logistic predictive modeling; logistic regression modeling; marketing support; online shop customer behaviors; online shop owner; predictive regression modeling; tablet PC; Analytical models; Computational modeling; Data mining; Data models; Logistics; Mathematical model; Predictive models; Logistic Regression modeling; SAS; data minging;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.146
