DocumentCode
2767147
Title
CART and Rough Sets for Marketing Segmentation and Classification An Application of Digital Camera
Author
Chen, Chin-Yi ; Huang, Jih-Jeng ; Tzeng, Gwo-Hshiung
Author_Institution
Inst. of Manage. of Technol., Nat. Chiao Tung Universit, Hsinchu, Taiwan
Volume
7
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
332
Lastpage
336
Abstract
Classification and regression tree (CART) is a statistical method used for marketing segmentation and classification. On the other hand, rough sets are the newly developed method which is used to deal with the complex problem of classification. In this paper, the above methods are integrated for marketing segmentation and classification. From the empirical result, we can conclude that the proposed method is better than CART and rough sets with respect to the criteria of accuracy.
Keywords
cameras; marketing; pattern classification; regression analysis; rough set theory; trees (mathematics); classification and regression tree; digital camera; marketing classification; marketing segmentation; rough sets; statistical method; Classification tree analysis; Conference management; Data analysis; Digital cameras; Fuzzy systems; Knowledge management; Marketing management; Regression tree analysis; Rough sets; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.773
Filename
5360010
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