Is Concept Stability a Measure for Pattern Selection? | Zendy

Aleksey Buzmakov | Zendy; Sergei O. Kuznetsov | Zendy; Amedeo Napoli | Zendy

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Is Concept Stability a Measure for Pattern Selection?

Author(s) -

Aleksey Buzmakov,

Sergei O. Kuznetsov,

Amedeo Napoli

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.344

Subject(s) - stability (learning theory) , measure (data warehouse) , computer science , selection (genetic algorithm) , data mining , population , formal concept analysis , artificial intelligence , machine learning , algorithm , demography , sociology

International audienceThere is a lot of usefulness measures of patterns in data mining. This paper is focused on the measures used in Formal Concept Analysis (FCA). In particular, concept stability is a popular relevancy measure in FCA. Experimental results of this paper show that high stability of a pattern in a given dataset derived from the general population suggests that the stability of that pattern is high in another dataset derived from the same population. At the second part of the paper, a new estimate of stability is introduced and studied. It es performance is evaluated experimentally. And it is shown that it is more efficient

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