| Constance: An intelligent data lake system R Hai, S Geisler, C Quix Proceedings of the 2016 international conference on management of data, 2097 …, 2016 | 364 | 2016 |
| Data lakes: A survey of functions and systems R Hai, C Koutras, C Quix, M Jarke IEEE Transactions on Knowledge and Data Engineering 35 (12), 12571-12590, 2023 | 260* | 2023 |
| Towards an infrastructure enabling the internet of production J Pennekamp, R Glebke, M Henze, T Meisen, C Quix, R Hai, L Gleim, ... 2019 IEEE international conference on industrial cyber physical systems …, 2019 | 182 | 2019 |
| Metadata extraction and management in data lakes with GEMMS C Quix, R Hai, I Vatov Complex Systems Informatics and Modeling Quarterly, 67-83, 2016 | 91 | 2016 |
| GEMMS: A Generic and Extensible Metadata Management System for Data Lakes. C Quix, R Hai, I Vatov CAiSE forum 129, 2016 | 65 | 2016 |
| Query rewriting for heterogeneous data lakes R Hai, C Quix, C Zhou European Conference on Advances in Databases and Information Systems, 35-49, 2018 | 54 | 2018 |
| Data lake C Quix, R Hai Encyclopedia of Big Data Technologies, 552-559, 2019 | 37 | 2019 |
| Relaxed functional dependency discovery in heterogeneous data lakes R Hai, C Quix, D Wang International Conference on Conceptual Modeling, 225-239, 2019 | 24 | 2019 |
| Amalur: The Convergence of Data Integration and Machine Learning Z Li, W Sun, D Zhan, Y Kang, L Chen, A Bozzon, R Hai IEEE Transactions on Knowledge and Data Engineering 36 (12), 7353-7367, 2024 | 21 | 2024 |
| Amalur: Data integration meets machine learning A Hai, Rihan and Koutras, Christos and Ionescu, Andra and Li, Ziyu and Sun ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3729--3739, 2023 | 19 | 2023 |
| Cebench: A benchmarking toolkit for the cost-effectiveness of llm pipelines W Sun, J Wang, Q Guo, Z Li, W Wang, R Hai arXiv preprint arXiv:2407.12797, 2024 | 14 | 2024 |
| Autofeat: Transitive feature discovery over join paths A Ionescu, K Vasilev, F Buse, R Hai, A Katsifodimos 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1861-1873, 2024 | 13 | 2024 |
| Quantum data management: From theory to opportunities R Hai, SH Hung, S Feld 2024 IEEE 40th International Conference on Data Engineering (ICDE), 5376-5381, 2024 | 13 | 2024 |
| Join path-based data augmentation for decision trees A Ionescu, R Hai, M Fragkoulis, A Katsifodimos 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW …, 2022 | 12 | 2022 |
| Metadata Representations for Queryable ML Model Zoos Z Li, R Hai, A Bozzon, A Katsifodimos Workshop on Benchmarking Data for Data-Centric AI (DataPerf) @ICML 2022, 2022 | 11 | 2022 |
| SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models A Shankar, H Brouwer, R Hai, L Chen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 110-123, 2024 | 10 | 2024 |
| Metadata representations for queryable repositories of machine learning models Z Li, H Kant, R Hai, A Katsifodimos, M Brambilla, A Bozzon IEEE Access 11, 125616-125630, 2023 | 9 | 2023 |
| A metadata framework for data lagoons V Theodorou, R Hai, C Quix European Conference on Advances in Databases and Information Systems, 452-462, 2019 | 9 | 2019 |
| Rewriting of plain SO tgds into nested tgds R Hai, C Quix Proceedings of the VLDB Endowment 12 (11), 1526-1538, 2019 | 9 | 2019 |
| Quantum Data Management in the NISQ Era: Extended Version R Hai, SH Hung, T Coopmans, T Littau, F Geerts arXiv preprint arXiv:2409.14111, 2024 | 8* | 2024 |
Asterios KatsifodimosTU Delft faculty & Amazon ScholarVerified email at tudelft.nl
