DocumentCode
3351234
Title
Customer Value Analysis Based on the Combination of Rough Set and Decision Tree
Author
Wen, Wei-jun
Author_Institution
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Volume
2
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
521
Lastpage
524
Abstract
In this paper, considering customer value characteristic, an analysis system based on rough sets theory and decision tree is proposed. The degree of dependency of decision attribute to condition attribute, based on rough sets theory, is used as a heuristic in decision tree for selecting the attribute that will best separate the samples into individual classes. Customer value analysis system is introduced to verify the feasibility and necessity of above method.
Keywords
customer relationship management; decision trees; rough set theory; condition attribute; customer value analysis; decision attribute; decision tree; rough set theory; Artificial intelligence; Classification tree analysis; Computer science; Decision trees; Educational institutions; Information analysis; Learning systems; Rough sets; Set theory; Testing; attribute dependency; customer value; decision tree; rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.866
Filename
5403219
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