Influence of Attribute Granulation on Three-Way Concept Lattices
In formal concept analysis based applications, controlling the structure of concept lattice is of vital importance, especially for big data, and is achieved via clarifying the granularity of attributes. Existing approaches for solving this issue are within the framework of classical formal concept a...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-09-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020041 |
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| author | Jun Long Yinan Li Zhan Yang |
| author_facet | Jun Long Yinan Li Zhan Yang |
| author_sort | Jun Long |
| collection | DOAJ |
| description | In formal concept analysis based applications, controlling the structure of concept lattice is of vital importance, especially for big data, and is achieved via clarifying the granularity of attributes. Existing approaches for solving this issue are within the framework of classical formal concept analysis, which focuses on positive attributes. However, experiments have demonstrated that both positive and negative attributes exert comparable influence on knowledge discovery. Thus, it is essential to explore the granularity of attributes in positive and negative perspectives altogether. As a solution, we investigate this problem within the framework of three-way concept analysis. Specifically, we present zoom-in and zoom-out algorithms to obtain more particular and abstract three-way concepts, separately. Furthermore, we provide illustrative examples to show the practical significance of this study. |
| format | Article |
| id | doaj-art-3cceb1c8ca7e471794fae94822be4913 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-3cceb1c8ca7e471794fae94822be49132025-02-03T11:53:24ZengTsinghua University PressBig Data Mining and Analytics2096-06542024-09-017365566710.26599/BDMA.2024.9020041Influence of Attribute Granulation on Three-Way Concept LatticesJun Long0Yinan Li1Zhan Yang2Big Data Institute, Central South University, Changsha 410083, ChinaBig Data Institute, Central South University, Changsha 410083, ChinaBig Data Institute, Central South University, Changsha 410083, ChinaIn formal concept analysis based applications, controlling the structure of concept lattice is of vital importance, especially for big data, and is achieved via clarifying the granularity of attributes. Existing approaches for solving this issue are within the framework of classical formal concept analysis, which focuses on positive attributes. However, experiments have demonstrated that both positive and negative attributes exert comparable influence on knowledge discovery. Thus, it is essential to explore the granularity of attributes in positive and negative perspectives altogether. As a solution, we investigate this problem within the framework of three-way concept analysis. Specifically, we present zoom-in and zoom-out algorithms to obtain more particular and abstract three-way concepts, separately. Furthermore, we provide illustrative examples to show the practical significance of this study.https://www.sciopen.com/article/10.26599/BDMA.2024.9020041granularity of attributesthree-way concept analysis (3wca)three-way concept lattice |
| spellingShingle | Jun Long Yinan Li Zhan Yang Influence of Attribute Granulation on Three-Way Concept Lattices Big Data Mining and Analytics granularity of attributes three-way concept analysis (3wca) three-way concept lattice |
| title | Influence of Attribute Granulation on Three-Way Concept Lattices |
| title_full | Influence of Attribute Granulation on Three-Way Concept Lattices |
| title_fullStr | Influence of Attribute Granulation on Three-Way Concept Lattices |
| title_full_unstemmed | Influence of Attribute Granulation on Three-Way Concept Lattices |
| title_short | Influence of Attribute Granulation on Three-Way Concept Lattices |
| title_sort | influence of attribute granulation on three way concept lattices |
| topic | granularity of attributes three-way concept analysis (3wca) three-way concept lattice |
| url | https://www.sciopen.com/article/10.26599/BDMA.2024.9020041 |
| work_keys_str_mv | AT junlong influenceofattributegranulationonthreewayconceptlattices AT yinanli influenceofattributegranulationonthreewayconceptlattices AT zhanyang influenceofattributegranulationonthreewayconceptlattices |