A Data Mining Approach to Consumer Behavior

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Junzo Watada Articles by Kozo Yamashiro

First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)

Beijing, China

August 30-September 01

ISBN: 0-7695-2616-0

	ASCII Text	x
	Junzo Watada, Kozo Yamashiro, "A Data Mining Approach to Consumer Behavior," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 652-655, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.

	BibTex	x
	@article{ 10.1109/ICICIC.2006.191, author = {Junzo Watada and Kozo Yamashiro}, title = {A Data Mining Approach to Consumer Behavior}, journal ={Innovative Computing ,Information and Control, International Conference on}, volume = {2}, year = {2006}, isbn = {0-7695-2616-0}, pages = {652-655}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.191}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Innovative Computing ,Information and Control, International Conference on TI - A Data Mining Approach to Consumer Behavior SN - 0-7695-2616-0 SP652 EP655 A1 - Junzo Watada, A1 - Kozo Yamashiro, PY - 2006 KW - null VL - 2 JA - Innovative Computing ,Information and Control, International Conference on ER -

Junzo Watada, Waseda University, Japan

Kozo Yamashiro, Waseda University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.191

Various studies on consumer purchasing behaviors have been presented and used in real problems. Data mining techniques are expected to be a more effective tool for analyzing consumer behaviors. However, the data mining method has disadvantages as well as advantages. Therefore, it is important to select appropriate techniques to mine databases.

The objective of this paper is to improve conventional data mining analysis by applying several methods including fuzzy clustering, principal component analysis, and discriminate analysis. Many defects included in the conventional methods are improved in the paper. Moreover, in an experiment, association rule is employed to mine rules for trusted customers using sales data in a fiber industry.

Citation:

Junzo Watada, Kozo Yamashiro, "A Data Mining Approach to Consumer Behavior," icicic, vol. 2, pp.652-655, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.