Constraint-based pattern set mining LD Raedt, A Zimmermann proceedings of the 2007 SIAM International conference on Data Mining, 237-248, 2007 | 147 | 2007 |
The chosen few: On identifying valuable patterns B Bringmann, A Zimmermann Seventh IEEE International Conference on Data Mining (ICDM 2007), 63-72, 2007 | 106 | 2007 |
Corclass: Correlated association rule mining for classification A Zimmermann, L De Raedt Discovery Science, 60-72, 2004 | 83 | 2004 |
Don’t be afraid of simpler patterns B Bringmann, A Zimmermann, L De Raedt, S Nijssen European Conference on Principles of Data Mining and Knowledge Discovery, 55-66, 2006 | 81 | 2006 |
Pattern-based classification: a unifying perspective B Bringmann, S Nijssen, A Zimmermann FROM LOCAL PATTERNS TO GLOBAL MODELS, 36, 2009 | 80 | 2009 |
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned A Zimmermann, S Moorthy, Z Shi arXiv preprint arXiv:1310.3607, 2013 | 74 | 2013 |
One in a million: picking the right patterns B Bringmann, A Zimmermann Knowledge and Information Systems 18, 61-81, 2009 | 53 | 2009 |
Tree 2 – Decision Trees for Tree Structured Data B Bringmann, A Zimmermann Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005 | 53 | 2005 |
Cluster-grouping: from subgroup discovery to clustering A Zimmermann, L De Raedt Machine Learning 77, 125-159, 2009 | 51 | 2009 |
Exceptional contextual subgraph mining M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet Machine Learning 106 (8), 1171-1211, 2017 | 44 | 2017 |
Efficiently finding conceptual clustering models with integer linear programming A Ouali, S Loudni, Y Lebbah, P Boizumault, A Zimmermann, L Loukil 25th International Joint Conferences on Artificial Intelligence, 2016 | 40 | 2016 |
Supervised Pattern Mining and Applications to Classification A Zimmermann, S Nijssen Frequent Pattern Mining, 425-442, 2014 | 36 | 2014 |
Basketball predictions in the NCAAB and NBA: Similarities and differences A Zimmermann Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (5 …, 2016 | 30 | 2016 |
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data A Zimmermann Intelligent Data Analysis 18 (5), 761-791, 2014 | 26 | 2014 |
Machine Learning and Data Mining for Sports Analytics U Brefeld, J Davis, J Van Haaren, A Zimmermann 5th International Workshop, MLSA, 2018 | 25 | 2018 |
CTC-correlating tree patterns for classification A Zimmermann, B Bringmann Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 25 | 2005 |
Ensemble-trees: Leveraging ensemble power inside decision trees A Zimmermann International conference on discovery science, 76-87, 2008 | 24 | 2008 |
Constraint-Based Pattern Mining S Nijssen, A Zimmermann Frequent Pattern Mining, 147-163, 2014 | 23 | 2014 |
Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey A Zimmermann Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1330, 2019 | 21 | 2019 |
Guest editorial: Special issue on sports analytics U Brefeld, A Zimmermann Data Mining and Knowledge Discovery 31 (6), 1577-1579, 2017 | 21 | 2017 |