Title :
The reduction for two kind of generalized concept lattices
Author_Institution :
Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
Abstract :
In this paper, we show the approaches to attribute reduction and object reduction for two kind of generalized concept lattices. By the proposed method, we remove the attributes and objects, which are not essential to the structures of proposed generalized concept lattices.
Keywords :
Boolean algebra; data mining; fuzzy set theory; attribute reduction; generalized concept lattice reduction; object reduction; Data mining; Database systems; Finance; Information analysis; Information retrieval; Information technology; Knowledge representation; Lattices; Set theory; Software engineering; Reduction; concept lattice; rough set;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527313
