| Constance: An intelligent data lake system R Hai, S Geisler, C Quix Proceedings of the 2016 international conference on management of data, 2097 …, 2016 | 343 | 2016 |
| 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 | 162 | 2019 |
| 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 | 160* | 2023 |
| Metadata extraction and management in data lakes with GEMMS C Quix, R Hai, I Vatov Complex Systems Informatics and Modeling Quarterly, 67-83, 2016 | 85 | 2016 |
| GEMMS: A Generic and Extensible Metadata Management System for Data Lakes. C Quix, R Hai, I Vatov CAiSE forum 129, 2016 | 57 | 2016 |
| Query rewriting for heterogeneous data lakes R Hai, C Quix, C Zhou Advances in Databases and Information Systems: 22nd European Conference …, 2018 | 50 | 2018 |
| Data lake C Quix, S Geisler, R Hai | 35 | 2020 |
| Relaxed functional dependency discovery in heterogeneous data lakes R Hai, C Quix, D Wang Conceptual Modeling: 38th International Conference, ER 2019, Salvador …, 2019 | 24 | 2019 |
| 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 | 17 | 2023 |
| 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 | 12 | 2024 |
| 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 | 10 | 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 | 9 | 2022 |
| A metadata framework for data lagoons V Theodorou, R Hai, C Quix New Trends in Databases and Information Systems: ADBIS 2019 Short Papers …, 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 | 8 | 2019 |
| 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 | 7 | 2022 |
| Nested schema mappings for integrating JSON R Hai, C Quix, D Kensche Conceptual Modeling: 37th International Conference, ER 2018, Xi'an, China …, 2018 | 7 | 2018 |
| 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 | 6 | 2024 |
| Topio Marketplace: Search and Discovery of Geospatial Data A Ionescu, A Alexandridou, L Ikonomou, K Psarakis, K Patroumpas, ... 🏆 EDBT 2023 - 26th International Conference on Extending Database Technology, 2023 | 6 | 2023 |
| 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 | 5 | 2023 |
| Macaroni: Crawling and Enriching Metadata from Public Model Zoos Z Li, H Kant, R Hai, A Katsifodimos, A Bozzon Web Engineering: 23rd International Conference, ICWE 2023, Alicante, Spain …, 2023 | 5 | 2023 |
Christoph QuixChristoph Quix is a senior researcher in the Life Science Informatics group at the FraunhoferCorreu electrònic verificat a dbis.rwth-aachen.de