Knowledge discovery in data using formal concept analysis and random projections
2011 ◽
Vol 21
(4)
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pp. 745-756
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Keyword(s):
Knowledge discovery in data using formal concept analysis and random projections In this paper our objective is to propose a random projections based formal concept analysis for knowledge discovery in data. We demonstrate the implementation of the proposed method on two real world healthcare datasets. Formal Concept Analysis (FCA) is a mathematical framework that offers a conceptual knowledge representation through hierarchical conceptual structures called concept lattices. However, during the design of a concept lattice, complexity plays a major role.
2013 ◽
Vol 760-762
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pp. 1708-1712
2012 ◽
Vol 6-7
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pp. 625-630
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2020 ◽
Vol 10
(2)
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pp. 79-98
2013 ◽
Vol 427-429
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pp. 2536-2539
Keyword(s):