DocumentCode
3597527
Title
Lp - Association Rules mining based on rough concept lattice
Author
Liu, Bao-Xiang ; Xie, Yu-jing ; Xu, Jun ; Zhang, Zhong-peng
Author_Institution
Coll. of Sci., Hebei Polytech. Univ., Thangshan, China
Volume
1
fYear
2009
Firstpage
145
Lastpage
148
Abstract
Rough concept lattice (RCL) is a new concept lattice, which can deal with uncertainty knowledge. It is an effective tool for data analysis and knowledge discovery. But some objects that in upper approximation extent of RCL are so uncertainty that makes the accuracy of association rules reduced. In this case, based on decision context, we construct a L- plumpness concept lattice (Lp - RCL), in whose upper approximation extent objects at least satisfy L attributes in order to improve the efficiency of extraction rules. And we get the algorithm for Lp - association rules.
Keywords
data analysis; data mining; rough set theory; L- plumpness concept lattice; Lp-association rules mining; data analysis; knowledge discovery; rough concept lattice; uncertainty knowledge; upper approximation extent; Association rules; Cybernetics; Data analysis; Data mining; Educational institutions; Electronic mail; Lattices; Machine learning; Set theory; Uncertainty; Association rules; Lp - set; Rough concept lattice;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212515
Filename
5212515
Link To Document