Results 11 to 20 of about 140,208 (262)
Incremental Attribute Reduction Method Based on Chi-Square Statistics and Information Entropy
IEEE Access, 2020 Attributes in datasets are usually not equally significant. Some attributes are unnecessary or redundant. Attribute reduction is an important research issue of rough set theory, which can find minimum subsets of attributes with the same classification ...
Na Su +3 more
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Matrix-Type Attribute Reduction for Inconsistent Formal Decision Contexts
Jisuanji kexue yu tansuo, 2020 Attribute reduction is a powerful tool about knowledge representation and data analysis in formal concept analysis. There are many approaches of attribute reduction for inconsistent formal decision contexts.
ZHANG Chengling, LI Jinjin, LIN Yidong
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A Distributed Attribute Reduction Algorithm for High-Dimensional Data under the Spark Framework
International Journal of Computational Intelligence Systems, 2022 Attribute reduction is an important issue in rough set theory. However, the rough set theory-based attribute reduction algorithms need to be improved to deal with high-dimensional data.
Zhengjiang Wu +4 more
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Stream Convolution for Attribute Reduction of Concept Lattices
Mathematics, 2023 Attribute reduction is a crucial research area within concept lattices. However, the existing works are mostly limited to either increment or decrement algorithms, rather than considering both.
Jianfeng Xu +4 more
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IET Cyber-systems and Robotics, 2022 The existing attribute reductions are carried out using equivalence relations under a complete information system, and there is less research on attribute reductions of incomplete information systems with new theoretical models such as multi‐granularity ...
Xuxu Yang, Xueen Wang, Jie Kang
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Attribute Reduction Method of Concept Lattice Based on Infimum Irreducibleness [PDF]
Jisuanji gongcheng, 2016 This paper researches on attribute reduction method of concept lattice.It proves that any attribute defective value of concept lattice is a discernible attribute set.It also proves that discernibility functions for attribute defective values set of ...
WU Jie,LIANG Yan,MA Yuan
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Local Indiscernibility Relation Reduction for Information Tables
IEEE Access, 2022 Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements.
Xu Li, Jianguo Tang, Jiyong Tang
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Information Entropy-Based Attribute Reduction for Incomplete Set-Valued Data
IEEE Access, 2022 This paper investigates attribute reduction for incomplete set-valued data based on information entropy. The similarity degree between information values on a conditional attribute of an incomplete set-valued decision information system (ISVDIS) is first
Yuanxia Zhang, Zuozan Chen
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Towards Computing Attributions for Dimensionality Reduction Techniques
Bioinformatics Advances, 2023 AbstractWe describe the problem of computing local feature attributions for dimensionality reduction methods. We use one such method that is well established within the context of supervised classification – using the gradients of target outputs with respect to the inputs – on the popular dimensionality reduction technique t-SNE, widely used in ...
Matthew Scicluna +4 more
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A Parallel Attribute Reduction Method Based on Classification
Complexity, 2021 Parallel processing as a method to improve computer performance has become a development trend. Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute ...
Deguang Li, Zhanyou Cui
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