| 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 | 273 | 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 | 228 | 2015 |
| Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017 | 189 | 2017 |
| 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 | 183 | 2016 |
| Discovering denial constraints X Chu, IF Ilyas, P Papotti Proceedings of the VLDB Endowment 6 (13), 1498-1509, 2013 | 175 | 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 | 123 | 2016 |
| Trends in cleaning relational data: Consistency and deduplication IF Ilyas, X Chu Foundations and Trends in Databases 5 (4), 281-393, 2015 | 115 | 2015 |
| Distributed data deduplication X Chu, IF Ilyas, P Koutris Proceedings of the VLDB Endowment 9 (11), 864-875, 2016 | 60 | 2016 |
| 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 | 55 | 2016 |
| Data cleaning IF Ilyas, X Chu Morgan & Claypool, 2019 | 30 | 2019 |
| 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 | 30 | 2015 |
| Qualitative data cleaning X Chu, IF Ilyas Proceedings of the VLDB Endowment 9 (13), 1605-1608, 2016 | 27 | 2016 |
| RuleMiner: Data quality rules discovery X Chu, IF Ilyas, P Papotti, Y Ye 2014 IEEE 30th International Conference on Data Engineering, 1222-1225, 2014 | 25 | 2014 |
| 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 | 20 | 2018 |
| 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 | 20 | 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 | 18 | 2015 |
| 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 | 9 | 2020 |
| 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, 2019 | 9 | 2019 |
| Transform-Data-by-Example (TDE) Extensible Data Transformation in Excel Y He, K Ganjam, K Lee, Y Wang, V Narasayya, S Chaudhuri, X Chu, ... Proceedings of the 2018 International Conference on Management of Data, 1785 …, 2018 | 6 | 2018 |
| GOGGLES: Automatic training data generation with affinity coding N Das, S Chaba, S Gandhi, DH Chau, X Chu ArXiv190304552 Cs, 2019 | 4 | 2019 |
Ihab F. IlyasUniversity of WaterlooGeverifieerd e-mailadres voor uwaterloo.ca
