| Profiling relational data: a survey Z Abedjan, L Golab, F Naumann The VLDB Journal 24, 557-581, 2015 | 437 | 2015 |
| 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 | 308 | 2016 |
| Aurum: A data discovery system RC Fernandez, Z Abedjan, F Koko, G Yuan, S Madden, M Stonebraker 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1001-1012, 2018 | 281 | 2018 |
| The Data Civilizer System. D Deng, RC Fernandez, Z Abedjan, S Wang, M Stonebraker, ... Cidr, 2017 | 200 | 2017 |
| Data profiling Z Abedjan, L Golab, F Naumann, T Papenbrock Morgan & Claypool Publishers, 2019 | 152* | 2019 |
| Raha: A configuration-free error detection system M Mahdavi, Z Abedjan, R Castro Fernandez, S Madden, M Ouzzani, ... Proceedings of the 2019 International Conference on Management of Data, 865-882, 2019 | 144 | 2019 |
| Scalable discovery of unique column combinations A Heise, JA Quiané-Ruiz, Z Abedjan, A Jentzsch, F Naumann Proceedings of the VLDB Endowment 7 (4), 301-312, 2013 | 125 | 2013 |
| Profiling and mining RDF data with ProLOD++ Z Abedjan, T Grütze, A Jentzsch, F Naumann 2014 IEEE 30th International Conference on Data Engineering, 1198-1201, 2014 | 99* | 2014 |
| DFD: Efficient functional dependency discovery Z Abedjan, P Schulze, F Naumann Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 98 | 2014 |
| Dataxformer: A robust transformation discovery system Z Abedjan, J Morcos, IF Ilyas, M Ouzzani, P Papotti, M Stonebraker 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 1134-1145, 2016 | 97 | 2016 |
| Baran: Effective error correction via a unified context representation and transfer learning M Mahdavi, Z Abedjan Proceedings of the VLDB Endowment 13 (12), 1948-1961, 2020 | 96 | 2020 |
| Profiling linked open data with ProLOD C Böhm, F Naumann, Z Abedjan, D Fenz, T Grütze, D Hefenbrock, M Pohl, ... 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW …, 2010 | 94 | 2010 |
| Temporal rules discovery for web data cleaning Z Abedjan, CG Akcora, M Ouzzani, P Papotti, M Stonebraker Proceedings of the VLDB Endowment 9 (4), 336-347, 2015 | 80 | 2015 |
| Data profiling: A tutorial Z Abedjan, L Golab, F Naumann Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 73 | 2017 |
| Improving rdf data through association rule mining Z Abedjan, F Naumann Datenbank-Spektrum 13, 111-120, 2013 | 63 | 2013 |
| Advancing the discovery of unique column combinations Z Abedjan, F Naumann Proceedings of the 20th ACM international conference on Information and …, 2011 | 56 | 2011 |
| Data science in healthcare: Benefits, challenges and opportunities Z Abedjan, N Boujemaa, S Campbell, P Casla, S Chatterjea, S Consoli, ... Data Science for Healthcare: Methodologies and Applications, 3-38, 2019 | 51 | 2019 |
| Discovering conditional inclusion dependencies J Bauckmann, Z Abedjan, U Leser, H Müller, F Naumann Proceedings of the 21st ACM international conference on Information and …, 2012 | 45 | 2012 |
| From Cleaning before ML to Cleaning for ML. F Neutatz, B Chen, Z Abedjan, E Wu IEEE Data Eng. Bull. 44 (1), 24-41, 2021 | 44 | 2021 |
| Metadata-driven error detection L Visengeriyeva, Z Abedjan Proceedings of the 30th International Conference on Scientific and …, 2018 | 41 | 2018 |
Felix NaumannHasso Plattner Institute, University of PotsdamVerified email at hpi.de
