| Magellan: Toward building entity matching management systems P Konda, S Das, P Suganthan G C, AH Doan, A Ardalan, JR Ballard, H Li, ... Proceedings of the VLDB Endowment 9 (12), 1197-1208, 2016 | 326 | 2016 |
| Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services S Das, P Suganthan G C, AH Doan, JF Naughton, G Krishnan, R Deep, ... Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 127 | 2017 |
| The Magellan data repository S Das, A Doan, CG PSGC, P Konda | 81 | 2016 |
| Magellan: toward building entity matching management systems over data science stacks P Konda, S Das, P Suganthan G C, AH Doan, A Ardalan, JR Ballard, H Li, ... Proceedings of the VLDB Endowment 9 (13), 1581-1584, 2016 | 79 | 2016 |
| Magellan: toward building ecosystems of entity matching solutions AH Doan, P Konda, P Suganthan GC, Y Govind, D Paulsen, ... Communications of the ACM 63 (8), 83-91, 2020 | 41 | 2020 |
| Tensorflow data validation: Data analysis and validation in continuous ml pipelines E Caveness, PS GC, Z Peng, N Polyzotis, S Roy, M Zinkevich Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 41 | 2020 |
| Human-in-the-Loop Challenges for Entity Matching: A Midterm Report. AH Doan, A Ardalan, JR Ballard, S Das, Y Govind, P Konda, H Li, ... HILDA@SIGMOD, 12:1-12:6, 2017 | 34 | 2017 |
| Why big data industrial systems need rules and what we can do about it P Suganthan G C, C Sun, H Zhang, F Yang, N Rampalli, S Prasad, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 30 | 2015 |
| Smurf: self-service string matching using random forests P Suganthan G. C., A Ardalan, AH Doan, A Akella Proceedings of the VLDB Endowment 12 (3), 278-291, 2018 | 29 | 2018 |
| Entity matching meets data science: A progress report from the magellan project Y Govind, P Konda, P Suganthan GC, P Martinkus, P Nagarajan, H Li, ... Proceedings of the 2019 International Conference on Management of Data, 389-403, 2019 | 27 | 2019 |
| Cloudmatcher: a hands-off cloud/crowd service for entity matching Y Govind, E Paulson, P Nagarajan, AH Doan, Y Park, GM Fung, ... Proceedings of the VLDB Endowment 11 (12), 2042-2045, 2018 | 23 | 2018 |
| Toward a System Building Agenda for Data Integration AH Doan, A Ardalan, JR Ballard, S Das, Y Govind, P Konda, H Li, ... arXiv preprint arXiv:1710.00027, 2017 | 20 | 2017 |
| Social Media Analytics: The Kosmix Story. X Chai, O Deshpande, N Garera, A Gattani, W Lam, DS Lamba, L Liu, ... IEEE Data Eng. Bull. 36 (3), 4-12, 2013 | 19 | 2013 |
| MatchCatcher: A Debugger for Blocking in Entity Matching. H Li, P Konda, PS GC, AH Doan, B Snyder, Y Park, G Krishnan, R Deep, ... EDBT, 193-204, 2018 | 15 | 2018 |
| Cloudmatcher: A cloud/crowd service for entity matching Y Govind, E Paulson, M Ashok, PS GC, A Hitawala, AH Doan, Y Park, ... BIGDAS@ KDD, 2017 | 15 | 2017 |
| AJAX Crawler P Suganthan G C Data Science & Engineering (ICDSE), 2012 International Conference on, 27-30, 2012 | 12* | 2012 |
| Validating Data and Models in Continuous ML Pipelines. M Dreves, G Huang, Z Peng, N Polyzotis, E Rosen, PS GC IEEE Data Eng. Bull. 44 (1), 42-50, 2021 | 7 | 2021 |
| Technical perspective: toward building entity matching management systems P Konda, S Das, P Suganthan GC, P Martinkus, A Ardalan, JR Ballard, ... ACM SIGMOD Record 47 (1), 33-40, 2018 | 7 | 2018 |
| P, Doan A, Ardalan A, Ballard JR, Li H, Panahi F, et al P Konda, S Das, GC Suganthan Magellan: Toward building entity matching management systems. PVLDB 9 (12 …, 2016 | 5 | 2016 |
| Toward Building End-to-End Entity Matching Solutions PSG Christopher The University of Wisconsin-Madison, 2018 | | 2018 |
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonVerified email at cs.wisc.edu
