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Semi-supervised attribute reduction via attribute indiscernibility
International Journal of Machine Learning and Cybernetics, 2022Jianhua Dai 0003 +3 more
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A type of attribute reduction of formal contexts
2012 International Conference on Machine Learning and Cybernetics, 2012Formal 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 ...
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Semi-supervised attribute reduction based on label distribution and label irrelevance
Information Fusion, 2023Chucai Zhang, Jianhua Dai
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Bee: towards a robust attribute reduction
International Journal of Machine Learning and Cybernetics, 2022Yining Chen +3 more
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Unsupervised attribute reduction for mixed data based on fuzzy rough sets
Information Sciences, 2021Tianrui Li, Hongmei Chen, Zeng Yu
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An Acceleration Method forĀ Attribute Reduction Based onĀ Attribute Synthesis
2023Chengzhi Shi +4 more
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Hypergraph-based attribute reduction of formal contexts in rough sets
Expert Systems With Applications, 2023Hua Mao, Sheng-Yu Wang
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Parallel attribute reduction algorithms using MapReduce
Information Sciences, 2014Jin Qian, Duoqian Miao, Xiaodong Yue
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An improved attribute reduction scheme with covering based rough sets
Applied Soft Computing Journal, 2015Ming-Wen Shao +2 more
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Fuzzy rough set-based attribute reduction using distance measures
Knowledge-Based Systems, 2019Ming-Wen Shao +2 more
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