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

fYear

2012

fDate

23-26 June 2012

Firstpage

639

Lastpage

642

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4673-1365-0

Type

conf

DOI

10.1109/CSO.2012.146

Filename

6274807