| Grid-enabling data mining applications with DataMiningGrid: An architectural perspective V Stankovski, M Swain, V Kravtsov, T Niessen, D Wegener, J Kindermann, ... Future Generation Computer Systems 24 (4), 259-279, 2008 | 123 | 2008 |
| Toolkit-based high-performance data mining of large data on MapReduce clusters D Wegener, M Mock, D Adranale, S Wrobel 2009 IEEE International Conference on Data Mining Workshops, 296-301, 2009 | 96 | 2009 |
| On integrating data mining into business processes D Wegener, S Rüping International Conference on Business Information Systems, 183-194, 2010 | 39 | 2010 |
| Digging deep into the data mine with DataMiningGrid V Stankovski, M Swain, V Kravtsov, T Niessen, D Wegener, M Röhm, ... IEEE internet computing 12 (6), 69-76, 2008 | 37 | 2008 |
| GridR: An R-based grid-enabled tool for data analysis in ACGT clinico-genomics trials D Wegener, T Sengstag, S Sfakianakis, S Ruping, A Assi Third IEEE International Conference on e-Science and Grid Computing (e …, 2007 | 35 | 2007 |
| On reusing data mining in business processes-a pattern-based approach D Wegener, S Rüping International Conference on Business Process Management, 264-276, 2010 | 26 | 2010 |
| Automatic Classification and Relationship Extraction for Multi-Lingual and Multi-Granular Events from Wikipedia. D Hienert, D Wegener, H Paulheim DeRiVE@ ISWC, 1-10, 2012 | 24 | 2012 |
| GridR: An R-based tool for scientific data analysis in grid environments D Wegener, T Sengstag, S Sfakianakis, S Rüping, A Assi Future Generation Computer Systems 25 (4), 481-488, 2009 | 24 | 2009 |
| p-Medicine: from data sharing and integration via VPH models to personalized medicine S Rossi, ML Christ-Neumann, S Rüping, FM Buffa, D Wegener, G McVie, ... Ecancermedicalscience 5, 218, 2011 | 22 | 2011 |
| Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine D Wegener, S Rossi, F Buffa, M Delorenzi, S Rüping Network modeling analysis in health informatics and bioinformatics 2 (1), 29-44, 2013 | 15 | 2013 |
| Towards Trustworthy AI Engineering-A Case Study on integrating an AI audit catalog into MLOps processes L Helmer, C Martens, D Wegener, M Akila, D Becker, S Abbas Proceedings of the 2nd international workshop on responsible AI engineering, 1-7, 2024 | 12 | 2024 |
| The ACGT project in retrospect: lessons learned and future outlook A Bucur, S Ruping, T Sengstag, S Sfakianakis, M Tsiknakis, D Wegener Procedia Computer Science 4, 1119-1128, 2011 | 12 | 2011 |
| Parallelization of R-programs with GridR in a GPS-trajectory mining application D Wegener, D Hecker, C Körner, M May, M Mock 1st Ubiquitous Knowledge Discovery Workshop on Machine Learning and …, 2008 | 10 | 2008 |
| Semantic-based retrieval of cultural heritage multimedia objects K Stalmann, D Wegener, M Doerr, HJ Hill, N Friesen International Journal of Semantic Computing 6 (03), 315-327, 2012 | 9 | 2012 |
| Supporting verification of news articles with automated search for semantically similar articles V Gupta, K Beckh, S Giesselbach, D Wegener, T Wirtz arXiv preprint arXiv:2103.15581, 2021 | 7 | 2021 |
| Zukunftssichere Lösungen für maschinelles Lernen N Beck, C Martens, KH Sylla, D Wegener, A Zimmermann Fraunhofer IAIS, 2020 | 7 | 2020 |
| Integration and reuse of data mining in business processes–a pattern-based approach D Wegener, S Rüping International Journal of Business Process Integration and Management 5 (3 …, 2011 | 6 | 2011 |
| Extensibility of grid-enabled data mining platforms: A case study D Wegener, M May Proc. of the 5th International Workshop on Data Mining Standards, Services …, 2007 | 6 | 2007 |
| Re-using data mining workflows S Rüping, D Wegener, P Bremer Proceedings of the ECML PKDD 2010 workshop on third-generation data mining …, 2010 | 5 | 2010 |
| Communication efficient distributed learning of neural networks in Big Data environments using Spark F Alkhoury, D Wegener, KH Sylla, M Mock 2021 IEEE International Conference on Big Data (Big Data), 3871-3877, 2021 | 4 | 2021 |
Stefan RüpingFraunhofer IAISVerified email at iais.fraunhofer.de
