Title :
The Classification and Extraction of Effective Knowledge in Concept Lattices Based on the Conjugate Pair of Deficient Value
Author :
Wu, Jie ; Ma, Yuan
Author_Institution :
Sch. of Software Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
In this paper, we define the concept of Projective Granule, Deficient Value, and Conjugate Pair, and achieve relevant formalized theorems and proofs. Then we find a Algorithm by which all Conjugated Pairs in the formal context can be obtained. The gain of the conjugate pair could classify the knowledge of concept lattice in accordance with some attributes (or objects) that users concern, and thus it has the significance in the extraction of useful knowledge.
Keywords :
formal concept analysis; knowledge acquisition; vocabulary; concept lattices; conjugate pair; deficient value; formalized theorems; knowledge classification; knowledge extraction; projective granule; Classification algorithms; Context; Educational institutions; Knowledge engineering; Lattices; Software engineering; Upper bound; Concept Lattice; Conjugate Pair; Deficient Value; Projective Granule;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.429
