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Keyword

dirty data

Description: Data that contain errors, omissions, inconsistencies, or other quality problems that can hinder analysis and information processing.
Wikidata ID: wiki/Q5281130
OpenAlex ID: keywords/dirty-data
Data Cleaning
2016 · Xu Chu, Ihab F. Ilyas, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 488
A Taxonomy of Dirty Data
2003 · Won Kim, Byoung-Ju Choi, et al. · Data Mining and Knowledge Discovery · 301
Similarity encoding for learning with dirty categorical variables
2018 · Patricio Cerda, Gaël Varoquaux, et al. · Machine Learning · 267
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Discovering data quality rules
2008 · Fei Chiang, Renée J. Miller · Proceedings of the VLDB Endowment · 267
Data Cleaning
2019 · Ihab F. Ilyas, Xu Chu · ACM eBooks · 199
Sherlock
2019 · Madelon Hulsebos, Kevin Hu, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 186
ERACER
2010 · Chris Mayfield, Jennifer Neville, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 173
LOD Laundromat: A Uniform Way of Publishing Other People’s Dirty Data
2014 · Wouter Beek, Laurens Rietveld, et al. · Lecture notes in computer science · 135
A sample-and-clean framework for fast and accurate query processing on dirty data
2014 · Jiannan Wang, Sanjay Krishnan, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 118
Sato
2020 · Dan Zhang, Madelon Hulsebos, et al. · Proceedings of the VLDB Endowment · 113
Managing dirty data in organizations using ERP: lessons from a case study
2001 · Jodi Vosburg, Anil Kumar · Industrial Management & Data Systems · 97
Deep learning for blocking in entity matching
2021 · Saravanan Thirumuruganathan, Han Li, et al. · Proceedings of the VLDB Endowment · 91
A Mostly-Clean DRAM Cache for Effective Hit Speculation and Self-Balancing Dispatch
2012 · Jaewoong Sim, Gabriel H. Loh, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 89
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution
2019 · Hao Nie, Xianpei Han, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 88
Trends in Cleaning Relational Data: Consistency and Deduplication
2015 · Ihab F. Ilyas, Xu Chu · now publishers, Inc. eBooks · 81
Entity matching with transformer architectures - a step forward in data integration
2020 · Brunner, Ursin, Stockinger, Kurt · Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) · 75
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ActiveClean
2016 · Sanjay Krishnan, Michael J. Franklin, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 72
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A Taxonomy of Dirty Time-Oriented Data
2012 · Theresia Gschwandtner, Johannes Gärtner, et al. · Lecture notes in computer science · 71
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Drowning in dirty data? It's time to sink or swim: A four-stage methodology for total data quality management
2005 · Richard Marsh · Journal of Database Marketing & Customer Strategy Management · 71
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Creating probabilistic databases from duplicated data
2009 · Oktie Hassanzadeh, Renée J. Miller · The VLDB Journal · 62
Hierarchical Matching Network for Heterogeneous Entity Resolution
2020 · Cheng Fu, Xianpei Han, et al. · International Joint Conference on Artificial Intelligence · 61
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Turn Waste into Wealth
2015 · Shaoxu Song, Chunping Li, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 61
Overview of data quality challenges in the context of Big Data
2015 · Suraj Juddoo · International Conference on Computing, Communication and Security (ICCCS) · 60
Cleaning structured event logs: A graph repair approach
2015 · Jianmin Wang, Shaoxu Song, et al. · Proceedings - International Conference on Data Engineering · 59
Legal aspects of data cleansing in medical AI
2021 · Karl Stöger, David Schneeberger, et al. · Computer law & security review · 51
Works count: 622
Citation count: 5,914
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