| Cardinality estimation: An experimental survey H Harmouch, F Naumann Proceedings of the VLDB Endowment 11 (4), 499-512, 2017 | 107 | 2017 |
| The effects of data quality on machine learning performance L Budach, M Feuerpfeil, N Ihde, A Nathansen, N Noack, H Patzlaff, ... arXiv preprint arXiv:2207.14529, 2022 | 92 | 2022 |
| Discovery of genuine functional dependencies from relational data with missing values L Berti-Équille, H Harmouch, F Naumann, N Novelli, ... Proceedings of the VLDB Endowment 11 (8), 880-892, 2018 | 58 | 2018 |
| Evaluating four of the most popular open source and free data mining tools A Al-Khoder, H Harmouch International Journal of Academic Scientific Research 3 (10), 13-23, 2015 | 28 | 2015 |
| Data Anamnesis: Admitting Raw Data into an Organization. S Kruse, T Papenbrock, H Harmouch, F Naumann IEEE Data Eng. Bull. 39 (2), 8-20, 2016 | 19 | 2016 |
| Inclusion dependency discovery: An experimental evaluation of thirteen algorithms F Dürsch, A Stebner, F Windheuser, M Fischer, T Friedrich, N Strelow, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 18 | 2019 |
| The effects of data quality on machine learning performance. arXiv 2022 L Budach, M Feuerpfeil, N Ihde, A Nathansen, N Noack, H Patzlaff, ... arXiv preprint arXiv:2207.14529, 0 | 9 | |
| The effects of data quality on ml-model performance L Budach, M Feuerpfeil, N Ihde, A Nathansen, NS Noack, H Patzlaff, ... CoRR abs/2207.14529, 2022 | 5 | 2022 |
| Relational header discovery using similarity search in a table corpus H Harmouch, T Papenbrock, F Naumann 2021 IEEE 37th International Conference on Data Engineering (ICDE), 444-455, 2021 | 5 | 2021 |
| The Effects of Data Quality on Machine Learning Performance. 2022 L Budach, M Feuerpfeil, N Ihde, A Nathansen, N Noack, H Patzlaff, ... arXiv preprint arXiv:2207.14529, 0 | 5 | |
| Single-column data profiling H Harmouch Universität Potsdam, 2020 | 3 | 2020 |
| Data Quality Assessment: Challenges and Opportunities S Mohammed, H Harmouch, F Naumann, D Srivastava arXiv preprint arXiv:2403.00526, 2024 | 2 | 2024 |
| Discovery of genuine functional dependencies from relational data with missing values [abstract for inforsid 2019] L Berti-Equille, H Harmouch, F Naumann, N Novelli, T Saravanan INFORSID 2019, 2019 | 1 | 2019 |
| Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28-September 1, 2023. R Bordawekar, C Cappiello, V Efthymiou, L Ehrlinger, V Gadepally, ... CEUR-WS. org, 2023 | | 2023 |
| How Data Quality Determines AI Fairness: The Case of Automated Interviewing. LT Brandner, P Mahlow, A Wilken, A Wölke, H Harmouch, SD Hirsbrunner EWAF, 2023 | | 2023 |
| Master Seminar on Question Answering Systems F Naumann, D Stephan, T Bleifuß, D Bhadauria, L Bornemann, ... | | |
| Distributed Duplicate Detection F Naumann, D Stephan, T Bleifuß, L Ehrlinger, M Hameed, S Krause, ... | | |
| CohEEL-Coherent and Efficient Named Entity Linking through Random Walks F Naumann, D Stephan, T Bleifuß, D Bhadauria, L Ehrlinger, M Hameed, ... | | |
| Large Scale Duplicate Detection F Naumann, D Stephan, T Bleifuß, D Bhadauria, L Bornemann, ... | | |
Felix NaumannHasso Plattner Institute, University of PotsdamVerified email at hpi.de
