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
Link To Document :
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