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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.773
