DocumentCode :
2036343
Title :
On Knowledge Structures Reduction
Author :
Snasel, Vaclav ; Polovincak, Martin ; Dahwa, Hussam M. ; Horak, Zdenek
Author_Institution :
VSB Tech. Univ. Ostrava, Ostrava
fYear :
2008
fDate :
26-28 June 2008
Firstpage :
33
Lastpage :
37
Abstract :
Matrix reduction and formal concept analysis are two complementary mathematical tools for data analysis. In this paper, we study the reduction of the concept lattices and implication bases based on matrix reduction and propose two kinds of reduction methods for the above concept lattices. We analyse the benefits which we obtain by using several methods of matrix factorisation to reduce the dimension of input data.
Keywords :
data analysis; matrix algebra; data analysis; formal concept analysis; knowledge structure reduction; matrix reduction; Algorithm design and analysis; Application software; Computer industry; Data analysis; Feature extraction; Information analysis; Knowledge management; Large scale integration; Lattices; Management information systems; attribute implications; bases; concept lattices; knowledge structures; reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2008. CISIM '08. 7th
Conference_Location :
Ostrava
Print_ISBN :
978-0-7695-3184-7
Type :
conf
DOI :
10.1109/CISIM.2008.65
Filename :
4557831
Link To Document :
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