Data Cleaning Rules is a formal set of domain-specific constraints or transformations that systematically identify, correct, or remove inaccuracies and inconsistencies in datasets to ensure data quality within query management processes.
60
Publications
3.9K
Citations
218
Authors
105
Institutions
Publications per year
2017–2026
21
Parents
Publications
60
Xu Chu, Ihab F. Ilyas, Sanjay Krishnan et al. · 2016 · 471 citations
Holistic data cleaning: Putting violations into context
Xu Chu, Ihab F. Ilyas, Paolo Papotti · 2013 · 319 citations
Michele Dallachiesa, Amr Ebaid, Ahmed Eldawy et al. · 2013 · 306 citations
How to Clean Enhanced TRACE Data
Jens Dick‐Nielsen · SSRN Electronic Journal · 2013 · 245 citations · Full text
Business, Accountancy, Finance +17
1–5 of 60
Authors
218
- NT
6
h-index
- IF
5
h-index
- MO
4
h-index
- PP
3
h-index
- JQ
2
h-index
1–5 of 218
Institutions
105
University of Waterloo
Waterloo, Canada
3 h-index
4 publications
1.4K citations
Erasmus MC
Rotterdam, The Netherlands
2 h-index
4 publications
169 citations
Northeastern University
Shenyang, China
2 h-index
7 publications
160 citations
University of Groningen
Groningen, The Netherlands
2 h-index
7 publications
175 citations
IBM Research - India
New Delhi, India
2 h-index
14 publications
220 citations
Simon Fraser University
Burnaby, Canada
2 h-index
2 publications
511 citations
University of South Florida
Tampa, United States
2 h-index
8 publications
291 citations
Qatar Airways (Qatar)
Doha, Qatar
2 h-index
7 publications
1.4K citations
1–8 of 105
Venues
- Proceedings of the VLDB Endowment
PVLDB · 4 publications · 135 citations
4
h-index
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Repository · 2 publications · 60 citations
2
h-index
- Journal of Applied Psychology
2 publications · 37 citations
2
h-index
- AORN Journal
1 publications · 23 citations
1
h-index
- GSTF international journal on computing/GSTF unternational journal on computing
1 publications · 11 citations
1
h-index
1–5