Rule-based Data Cleaning
Rule-Based Data Cleaning is a data cleaning method that belongs to the class of rule-driven techniques, distinguished by its reliance on explicitly defined, deterministic rules derived from domain knowledge or schema constraints to detect and correct errors in datasets.
32
Publications
1.8K
Citations
106
Authors
40
Institutions
Publications per year
2017–2026
9
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32
Xu Chu, Ihab F. Ilyas, Sanjay Krishnan et al. · 2016 · 471 citations
Discovering Conditional Functional Dependencies
Wenfei Fan, Floris Geerts, Jianzhong Li et al. · IEEE Transactions on Knowledge and Data Engineering · 2010 · 248 citations · Full text
Eliminating class noise in large datasets
Xingquan Zhu, Xindong Wu, Qijun Chen · 2003 · 241 citations
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Indian Institute of Science Education and Research Thiruvananthapuram, India
2 publications · 32 citations
2
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1–5 of 106
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University of Edinburgh
Edinburgh, United Kingdom
3 h-index
7 publications
739 citations
IBM Research - India
New Delhi, India
2 h-index
14 publications
220 citations

Harbin Institute of Technology
Harbin, China
2 h-index
2 publications
259 citations

University of Milano-Bicocca
Milan, Italy
2 h-index
8 publications
156 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
73 citations

Zhejiang University
Hangzhou, China
1 h-index
4 publications
160 citations

Beihang University
Beijing, China
1 h-index
1 publications
11 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
66 citations
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PVLDB · 5 publications · 143 citations
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TKDE · 2 publications · 288 citations
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JDIQ · 1 publications · 23 citations
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FGCS · 1 publications · 39 citations
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1 publications · 56 citations
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