Data Model Simplification
Data Model Simplification is a data abstraction technique that reduces the complexity of a data model by eliminating redundant or less significant components while preserving its essential structure and semantic integrity.
11
Publications
1.1K
Citations
28
Authors
19
Institutions
Publications per year
2017–2026
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Parents
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Discernibility matrix simplification for constructing attribute reducts
Yiyu Yao, Yan Zhao · Information Sciences · 2008 · 245 citations
A Survey on Large-Scale Machine Learning
Meng Wang, Weijie Fu, Xiangnan He et al. · IEEE Transactions on Knowledge and Data Engineering · 2020 · 132 citations
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Wuhan University
Wuhan, China
1 h-index
3 publications
51 citations
Qingdao University of Science and Technology
Qingdao, China
1 h-index
1 publications
11 citations

Keimyung University
Daegu, South Korea
1 h-index
3 publications
66 citations

University of Regina
Regina, Canada
1 h-index
2 publications
490 citations
Beijing Jiaotong University
Beijing, China
1 h-index
2 publications
22 citations
Synlab Czech (Czechia)
Prague, Czechia
1 h-index
1 publications
12 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
2 publications
28 citations

Télécom Paris
Palaiseau, France
1 h-index
1 publications
12 citations
1–8 of 19
1 publications · 572 citations
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1 publications · 12 citations
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1 publications · 17 citations
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1 publications · 14 citations
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1 publications · 22 citations
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