| Subgroup discovery M Atzmueller Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (1 …, 2015 | 374 | 2015 |
| SD-Map–A fast algorithm for exhaustive subgroup discovery M Atzmueller, F Puppe Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006 | 265 | 2006 |
| Description-oriented community detection using exhaustive subgroup discovery M Atzmueller, S Doerfel, F Mitzlaff Information Sciences 329, 965-984, 2016 | 153 | 2016 |
| Interpretable Machine Learning: A brief survey from the predictive maintenance perspective S Vollert, M Atzmueller, A Theissler 2021 26th IEEE international conference on emerging technologies and factory …, 2021 | 138 | 2021 |
| Fast subgroup discovery for continuous target concepts M Atzmueller, F Lemmerich International symposium on methodologies for intelligent systems, 35-44, 2009 | 117 | 2009 |
| Computational approaches to explainable artificial intelligence: advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 115 | 2023 |
| Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. M Atzmueller, F Puppe, HP Buscher IJCAI 5, 647-652, 2005 | 110 | 2005 |
| Fast exhaustive subgroup discovery with numerical target concepts F Lemmerich, M Atzmueller, F Puppe Data Mining and Knowledge Discovery 30, 711-762, 2016 | 97 | 2016 |
| VIKAMINE – Open-Source Subgroup Discovery, Pattern Mining, and Analytics M Atzmueller, F Lemmerich Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 96 | 2012 |
| Feature-rich networks: going beyond complex network topologies R Interdonato, M Atzmueller, S Gaito, R Kanawati, C Largeron, A Sala Applied Network Science 4 (1), 4, 2019 | 92 | 2019 |
| Resilience in sports: a multidisciplinary, dynamic, and personalized perspective RJR Den Hartigh, LRA Meerhoff, NW Van Yperen, ND Neumann, ... International Review of Sport and Exercise Psychology 17 (1), 564-586, 2024 | 75 | 2024 |
| Semi-Automatic Visual Subgroup Mining using VIKAMINE. M Atzmüller, F Puppe J. Univers. Comput. Sci. 11 (11), 1752-1765, 2005 | 71 | 2005 |
| Enhancing social interactions at conferences M Atzmueller, D Benz, S Doerfel, A Hotho, R Jäschke, BE Macek, ... It-Information Technology 53 (3), 101-107, 2011 | 69 | 2011 |
| New insights and methods for predicting face-to-face contacts C Scholz, M Atzmueller, A Barrat, C Cattuto, G Stumme Proceedings of the International AAAI Conference on Web and Social Media 7 …, 2013 | 67 | 2013 |
| Meta-level information extraction P Kluegl, M Atzmueller, F Puppe Annual Conference on Artificial Intelligence, 233-240, 2009 | 67 | 2009 |
| Anatomy of a Conference BE Macek, C Scholz, M Atzmueller, G Stumme Proceedings of the 23rd ACM conference on Hypertext and Social Media, 245-254, 2012 | 66 | 2012 |
| Generic pattern trees for exhaustive exceptional model mining F Lemmerich, M Becker, M Atzmueller Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 66 | 2012 |
| Face-to-face contacts at a conference: dynamics of communities and roles M Atzmueller, S Doerfel, A Hotho, F Mitzlaff, G Stumme International Workshop on Mining Ubiquitous and Social Environments, 21-39, 2011 | 63 | 2011 |
| The mining and analysis continuum of explaining uncovered M Atzmueller, T Roth-Berghofer International Conference on Innovative Techniques and Applications of …, 2010 | 63 | 2010 |
| Data mining on social interaction networks M Atzmueller Journal of Data Mining & Digital Humanities 2014, 2014 | 62 | 2014 |
Gerd StummeProfessor für Informatik, Universität Kassel & L3S Research Centercs.uni-kassel.de의 이메일 확인됨
