| Data mining-driven manufacturing process optimization C Gröger, F Niedermann, B Mitschang World Congress on Engineering 3, 2012 | 147 | 2012 |
| Building an Industry 4.0 Analytics Platform. Practical Challenges, Approaches and Future Research Directions C Gröger Datenbank-Spektrum 18 (1), 5-14, 2018 | 127 | 2018 |
| Leveraging the Data Lake: Current State and Challenges C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Big Data Analytics and Knowledge Discovery (DaWaK) 2019. 21st International …, 2019 | 123 | 2019 |
| Designing Manufacturing Dashboards on the Basis of a Key Performance Indicator Survey H Tokola, C Gröger, E Järvenpää, E Niemi Procedia CIRP 57, 619-624, 2016 | 105 | 2016 |
| Prescriptive Analytics for Recommendation-Based Business Process Optimization C Gröger, H Schwarz, B Mitschang Business Information Systems (BIS) 2014. 17th International Conference on, 25-37, 2014 | 100 | 2014 |
| The Operational Process Dashboard for Manufacturing C Gröger, M Hillmann, F Hahn, B Mitschang, E Westkämper Procedia CIRP 7, 205-210, 2013 | 100 | 2013 |
| Leveraging Apps in Manufacturing. A Framework for App Technology in the Enterprise C Gröger, S Silcher, E Westkämper, B Mitschang Procedia CIRP 7, 664-669, 2013 | 68 | 2013 |
| There Is No AI Without Data C Gröger Communications of the ACM 64 (11), 98-108, 2021 | 62 | 2021 |
| Product Life Cycle Analytics - Next Generation Data Analytics on Structured and Unstructured Data L Kassner, C Gröger, B Mitschang, E Westkämper Intelligent Computation in Manufacturing Engineering (CIRP ICME) 2014. 9th …, 2014 | 53 | 2014 |
| The Data-Driven Factory. Leveraging Big Industrial Data for Agile, Learning and Human-Centric Manufacturing C Gröger, L Kassner, E Hoos, J Königsberger, C Kiefer, S Silcher, ... Enterprise Information Systems (ICEIS) 2016. 18th International Conference …, 2016 | 49 | 2016 |
| HANDLE - A Generic Metadata Model for Data Lakes R Eichler, C Giebler, C Gröger, H Schwarz, B Mitschang Big Data Analytics and Knowledge Discovery (DaWaK) 2020. 22nd International …, 2020 | 43 | 2020 |
| Modeling metadata in data lakes—A generic model R Eichler, C Giebler, C Gröger, H Schwarz, B Mitschang Data & Knowledge Engineering, 2021 | 41 | 2021 |
| The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture C Giebler, C Gröger, E Hoos, R Eichler, H Schwarz, B Mitschang Conference for Database Systems for Business, Technology and Web (BTW) 2021 …, 2021 | 39* | 2021 |
| Advanced Manufacturing Analytics - Datengetriebene Optimierung von Fertigungsprozessen C Gröger Josef Eul, 2015 | 38* | 2015 |
| The Stuttgart IT Architecture for Manufacturing. An Architecture for the Data-Driven Factory L Kassner, C Gröger, J Königsberger, E Hoos, C Kiefer, C Weber, ... Enterprise Information Systems (ICEIS) 2016. Revised Selected Papers. 18th …, 2017 | 37 | 2017 |
| A Zone Reference Model for Enterprise-Grade Data Lake Management C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Enterprise Distributed Object Computing (EDOC) 2020. 24th IEEE International …, 2020 | 36 | 2020 |
| A mobile dashboard for analytics-based information provisioning on the shop floor C Gröger, C Stach, B Mitschang, E Westkämper International Journal of Computer Integrated Manufacturing 29 (12), 1335-1354, 2016 | 34 | 2016 |
| A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics S Michalczyk, M Nadj, D Azarfar, A Maedche, C Gröger European Conference on Information Systems (ECIS) 2020, Paper 46, 2020 | 32 | 2020 |
| Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Conceptual Modeling (ER). International Conference on, 63-77, 2019 | 32 | 2019 |
| Towards a Rule-based Manufacturing Integration Assistant M Wieland, P Hirmer, F Steimle, C Gröger, B Mitschang, E Rehder, ... Procedia CIRP 57, 213-218, 2016 | 29 | 2016 |
Bernhard MitschangUniversität Stuttgart在 ipvs.uni-stuttgart.de 的电子邮件经过验证
