DocumentCode
443988
Title
Isomorphic generating of concept lattices
Author
Shen, Xiajiong ; Liu, Zongtian ; Zhang, Qing ; Li, Yun ; Shi, Baisheng
Author_Institution
Comput. Eng. & Sci. Coll., Shanghai Univ., China
Volume
1
fYear
2005
fDate
25-27 July 2005
Firstpage
249
Abstract
Formal concept analysis has been considered as a methodology in data mining. This paper suggests an idea that generates concept lattices in terms of isomorphic formal contexts in order to support data mining or knowledge discovery. Hereby, it sets up a distributed knowledge model, which declines the time complexity of algorithms for constructing concept lattices. The paper discusses the details of algorithms for isomorphic generating of concept lattices.
Keywords
Boolean algebra; data mining; concept lattice isomorphic generation; data mining; distributed knowledge model; formal concept analysis; isomorphic formal contexts; knowledge discovery; Algorithm design and analysis; Computational modeling; Concurrent computing; Data mining; Interference; Lattices; Mathematics; Parallel algorithms; Polynomials; Software maintenance; Concept lattice; data mining; formal context; isomorphic generating;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547277
Filename
1547277
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