| 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 | 146 | 2021 |
| The magellan data repository S Das, A Doan, CG Psgc, P Konda, Y Govind, D Paulsen Konda,” The magellan data repository”,[online] Available: https://sites …, 2015 | 98 | 2015 |
| 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 | 60 | 2023 |
| 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 | 53 | 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 | 29 | 2019 |
| 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 | 2 | 2022 |
| Toward Effective Blocking for Entity Matching D Paulsen The University of Wisconsin-Madison, 2025 | | 2025 |
| DOAN A. 1, KONDA P. 1, SUGANTHAN GCP 1, GOVIND YA. 1 D PAULSEN, K CHANDRASEKHAR, PH MARTINKUS, M CHRISTIE COMMUNICATIONS OF THE ACM 63 (8), 83-91, 2020 | | 2020 |
