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| Deep learning for blocking in entity matching: a design space exploration S Thirumuruganathan, H Li, N Tang, M Ouzzani, Y Govind, D Paulsen, ... Proceedings of the VLDB Endowment 14 (11), 2459-2472, 2021 | 54 | 2021 |
| 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 | 33 | 2020 |
| 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 | 25 | 2019 |
| Sparkly: A simple yet surprisingly strong TF/IDF blocker for entity matching D Paulsen, Y Govind, AH Doan Proceedings of the VLDB Endowment 16 (6), 1507-1519, 2023 | 7 | 2023 |
| Toward data cleaning with a target accuracy: A case study for value normalization A Ardalan, D Paulsen, AS Saini, W Cai, AH Doan 2022 IEEE International Conference on Big Data (Big Data), 3975-3981, 2022 | 1 | 2022 |
