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A type of attribute reduction of formal contexts

2012 International Conference on Machine Learning and Cybernetics, 2012
Formal concept analysis is an important mathematical tool for knowledge representation and knowledge discovery. Attribute reduction is a crucial research issue attracting many attention of researchers on formal concept analysis. This paper proposes one type of attribute reduction of formal context, in which all join-irreducible elements of a concept ...
openaire   +1 more source

Parallel incremental efficient attribute reduction algorithm based on attribute tree

Information Sciences, 2022
Weiping Ding   +6 more
semanticscholar   +1 more source

Bee: towards a robust attribute reduction

International Journal of Machine Learning and Cybernetics, 2022
Yining Chen   +3 more
openaire   +2 more sources

Tri-level attribute reduction based on neighborhood rough sets

Applied intelligence (Boston)
Lian-Hui Luo   +3 more
semanticscholar   +1 more source

Unsupervised attribute reduction based on neighborhood dependency

Applied intelligence (Boston)
Yi Li   +5 more
semanticscholar   +1 more source

An Acceleration Method for Attribute Reduction Based on Attribute Synthesis

2023
Chengzhi Shi   +4 more
openaire   +1 more source

Supervised information granulation strategy for attribute reduction

International Journal of Machine Learning and Cybernetics, 2020
Ke-Yu Liu   +5 more
semanticscholar   +1 more source

Opportunities and Strategies for Breast Cancer Prevention Through Risk Reduction

Ca-A Cancer Journal for Clinicians, 2008
Thérèse B Bevers   +2 more
exaly  

Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes

International Journal of Machine Learning and Cybernetics, 2020
Lian-Jie Dong, Degang Chen
semanticscholar   +1 more source

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