| Data cleaning: Overview and emerging challenges X Chu, IF Ilyas, S Krishnan, J Wang Proceedings of the 2016 international conference on management of data, 2201 …, 2016 | 520 | 2016 |
| Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017 | 457 | 2017 |
| Holistic data cleaning: Putting violations into context X Chu, IF Ilyas, P Papotti 2013 IEEE 29th International Conference on Data Engineering (ICDE), 458-469, 2013 | 413 | 2013 |
| Katara: A data cleaning system powered by knowledge bases and crowdsourcing X Chu, J Morcos, IF Ilyas, M Ouzzani, P Papotti, N Tang, Y Ye Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 368 | 2015 |
| Discovering denial constraints X Chu, IF Ilyas, P Papotti Proceedings of the VLDB Endowment 6 (13), 1498-1509, 2013 | 289 | 2013 |
| Detecting data errors: Where are we and what needs to be done? Z Abedjan, X Chu, D Deng, RC Fernandez, IF Ilyas, M Ouzzani, P Papotti, ... Proceedings of the VLDB Endowment 9 (12), 993-1004, 2016 | 265 | 2016 |
| Data cleaning IF Ilyas, X Chu Morgan & Claypool, 2019 | 249 | 2019 |
| Trends in cleaning relational data: Consistency and deduplication IF Ilyas, X Chu Foundations and Trends® in Databases 5 (4), 281-393, 2015 | 183 | 2015 |
| CLAMS: bringing quality to data lakes M Farid, A Roatis, IF Ilyas, HF Hoffmann, X Chu Proceedings of the 2016 International Conference on Management of Data, 2089 …, 2016 | 99 | 2016 |
| Distributed data deduplication X Chu, IF Ilyas, P Koutris Proceedings of the VLDB Endowment 9 (11), 864-875, 2016 | 98 | 2016 |
| Zeroer: Entity resolution using zero labeled examples R Wu, S Chaba, S Sawlani, X Chu, S Thirumuruganathan Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 80 | 2020 |
| Qualitative data cleaning X Chu, IF Ilyas Proceedings of the VLDB Endowment 9 (13), 1605-1608, 2016 | 71 | 2016 |
| Transform-data-by-example (TDE) an extensible search engine for data transformations Y He, X Chu, K Ganjam, Y Zheng, V Narasayya, S Chaudhuri Proceedings of the VLDB Endowment 11 (10), 1165-1177, 2018 | 62 | 2018 |
| CleanML: A study for evaluating the impact of data cleaning on ml classification tasks P Li, X Rao, J Blase, Y Zhang, X Chu, C Zhang 2021 IEEE 37th International Conference on Data Engineering (ICDE), 13-24, 2021 | 57 | 2021 |
| Tegra: Table extraction by global record alignment X Chu, Y He, K Chakrabarti, K Ganjam Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 51 | 2015 |
| Cleanml: A benchmark for joint data cleaning and machine learning [experiments and analysis] P Li, X Rao, J Blase, Y Zhang, X Chu, C Zhang arXiv preprint arXiv:1904.09483 75, 2019 | 48 | 2019 |
| RuleMiner: Data quality rules discovery X Chu, IF Ilyas, P Papotti, Y Ye 2014 IEEE 30th International Conference on Data Engineering, 1222-1225, 2014 | 41 | 2014 |
| KATARA: Reliable data cleaning with knowledge bases and crowdsourcing X Chu, J Morcos, IF Ilyas, M Ouzzani, P Papotti, N Tang, Y Ye Proceedings of the VLDB Endowment 8 (12), 1952-1955, 2015 | 40 | 2015 |
| Sema-join: joining semantically-related tables using big table corpora Y He, K Ganjam, X Chu Proceedings of the VLDB Endowment 8 (12), 1358-1369, 2015 | 40 | 2015 |
| Omnifair: A declarative system for model-agnostic group fairness in machine learning H Zhang, X Chu, A Asudeh, SB Navathe Proceedings of the 2021 international conference on management of data, 2076 …, 2021 | 36 | 2021 |
Ihab F. IlyasUniversity of WaterlooZweryfikowany adres z uwaterloo.ca
