DocumentCode
2008166
Title
Research on Data Mining Algorithms for Automotive Customers´ Behavior Prediction Problem
Author
Lan Huang ; Chun-Guang Zhou ; Yu-qin Zhou ; Zhe Wang
Author_Institution
Coll. of Comput., Jilin Univ., Changchun, China
fYear
2008
fDate
11-13 Dec. 2008
Firstpage
677
Lastpage
681
Abstract
This paper extracts automotive marketing information, constructs data warehouse, adopts an improved ID3 decision tree model and an association rule model to do data mining, and then obtains prediction information of automotive customers´ behavior. Experimental and comparative results verify the validity and accuracy of the prediction results.
Keywords
behavioural sciences computing; data mining; data warehouses; ID3 decision tree model; automotive customer behavior prediction problem; automotive marketing information extraction; data mining algorithms; data warehouse; Association rules; Automobiles; Automotive engineering; Data analysis; Data mining; Data warehouses; Decision trees; Educational institutions; Marketing and sales; Predictive models; association rule model; automotive customers´ behavior prediction; data mining; decision tree model;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-0-7695-3495-4
Type
conf
DOI
10.1109/ICMLA.2008.23
Filename
4725048
Link To Document