DocumentCode
2381668
Title
A Quick Algorithmfor Reduction of Attribute in Information Systems
Author
Lv, Yue-jin ; Li, Jin-Hai
Author_Institution
Guangxi Univ., Nanning
fYear
2007
fDate
1-3 Nov. 2007
Firstpage
98
Lastpage
100
Abstract
Reduction of attribute is one of the key problems in rough set theory. In this paper, Using recursive idea, we design a new approach to calculate partition U/C, whose time complexity is O(C \\U). Then two new and relatively reasonable formulas measuring attribute significance are designed for reducing searching space, which are used as heuristic information to develop a quick attribute reduction algorithm; the theoretical analysis shows that this algorithm is much less time complexity than those existed algorithms. Finally, experimental results demonstrate its feasibility and effectiveness, respectively.
Keywords
computational complexity; data reduction; information systems; rough set theory; attribute reduction algorithm; information system; rough set theory; time complexity; Algorithm design and analysis; Artificial intelligence; Data privacy; Extraterrestrial measurements; Heuristic algorithms; Information systems; Mathematics; Partitioning algorithms; Set theory; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3016-1
Type
conf
DOI
10.1109/ISDPE.2007.83
Filename
4402647
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