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
Link To Document :
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