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On concept reduction based on some graph properties
DOI:10.1016/j.knosys.2015.11.003.png)
摘要
En 中文
The theory of concept lattices represents a well established and widely used conceptual data-mining method. Considering additional information represented by a graph structure on a set of objects, we propose a reduction of concepts. Using graph-theoretical point of view on FCA together with simple probabilistic arguments we derive the mean value of the cardinality of the reduced hierarchical structure. (c) 2015 Elsevier B.V. All rights reserved.
Keyword:
Galois connection
Concept lattice
Concept reduction
Mean value of concepts
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期刊
K
IF:
7.6
论文数:
1.3W
被引数:
4.5W
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