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 :
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