DocumentCode
512429
Title
Reduction algorithm of attribute based on discernibility degree
Author
Li, XiangPeng ; Dong, Min
Author_Institution
Dept. of Math. & Phys., Wuhan Univ. of Sci. & Eng., Wuhan, China
Volume
1
fYear
2009
fDate
28-29 Nov. 2009
Firstpage
143
Lastpage
145
Abstract
The effective reduct algorithm is the foundation to use the rough set theory in data mining and knowledge discovery in database. In this paper, the concept of discenribility degree with attribute sets is introduced. We also propose the algorithm about reducts of information system based on discernibility degree of attributes set. The experiments indicate that our algorithm is efficient and practical.
Keywords
data mining; database management systems; rough set theory; data mining; database; discernibility degree; information system; knowledge discovery; reduction algorithm; rough set theory; Computational intelligence; Computer industry; Data engineering; Data mining; Databases; Information systems; Knowledge engineering; Mathematics; Mining industry; Set theory; discernibility degree; reduct; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4606-3
Type
conf
DOI
10.1109/PACIIA.2009.5406474
Filename
5406474
Link To Document