DocumentCode
2697537
Title
Design and implementation of commerce data mining system based on rough set theory
Author
Yang, Xiang ; Weiying, Wu ; Hairong, Mao ; Qingwei, Song
Author_Institution
Tongji Univ., Shanghai
fYear
2005
fDate
12-18 Oct. 2005
Firstpage
258
Lastpage
265
Abstract
On the basis of analyzing characters of commercial data and rough set, this paper proposes a data mining system using rough set, and presents detailed design and implementation. The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation. During the design and implementation of three levels, this paper presents several novel algorithms using rough set. These algorithms can accelerate data mining process and improve quality of data mining. Finally, the paper tests the result of research and algorithm through an instance
Keywords
data analysis; data mining; data preparation; electronic commerce; rough set theory; commerce data mining system; data evaluation; data preparation; data preprocessing; rough set theory; Acceleration; Algorithm design and analysis; Automatic testing; Business; Data mining; Data preprocessing; Data warehouses; Decision making; Educational institutions; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2430-3
Type
conf
DOI
10.1109/ICEBE.2005.50
Filename
1552903
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