Deep learning for entity matching: A design space exploration S Mudgal, H Li, T Rekatsinas, AH Doan, Y Park, G Krishnan, R Deep, ... Proceedings of the 2018 international conference on management of data, 19-34, 2018 | 649 | 2018 |
Magellan: Toward building entity matching management systems PV Konda The University of Wisconsin-Madison, 2018 | 315 | 2018 |
Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services S Das, PS GC, AH Doan, JF Naughton, G Krishnan, R Deep, E Arcaute, ... Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 124 | 2017 |
Magellan: toward building entity matching management systems over data science stacks P Konda, S Das, AH Doan, A Ardalan, JR Ballard, H Li, F Panahi, ... Proceedings of the VLDB Endowment 9 (13), 1581-1584, 2016 | 72 | 2016 |
Why big data industrial systems need rules and what we can do about it PS GC, C Sun, KG K, H Zhang, F Yang, N Rampalli, S Prasad, E Arcaute, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 30 | 2015 |
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 |