DocumentCode
2674526
Title
The Algorithm of Obtaining Best Rules Based on Rough Set
Author
Chen, Shulin ; Wang, Lei
Author_Institution
Coll. of Econ. & Manage., NanJing Forestry Univ., Nanjing
fYear
2008
fDate
3-5 Aug. 2008
Firstpage
7
Lastpage
10
Abstract
With the fast development of the technology in Database and Internet, excessive information has become a problem that decision makers engage in electronic commerce have to affront. This paper firstly establishes the decision table for excessive data, then reduces knowledge of the decision table, and obtains the best rules. This can reduce the redundancy of the data, and improve the efficiency of knowledge obtaining. Because of the high time complexity and spatial complexity the general algorithm has, this paper proposed a new algorithm based on analogical matrix, and carried out the algorithm. The practice proves that the algorithm can improve the efficiency of knowledge obtaining, and the rules is tidy and best.
Keywords
electronic commerce; rough set theory; analogical matrix; best rules; decision table; electronic commerce; excessive data; rough set; Data security; Databases; Educational institutions; Electronic commerce; Forestry; Information security; Information systems; Internet; Market opportunities; Technology management; Analogical Matrix; Attribute Reduction; Attribute Value Reduction; Electronic Commerce; Knowledge Reduction; Rough Set;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Security, 2008 International Symposium on
Conference_Location
Guangzhou City
Print_ISBN
978-0-7695-3258-5
Type
conf
DOI
10.1109/ISECS.2008.14
Filename
4606014
Link To Document