| Mining changing customer segments in dynamic markets M Böttcher, M Spott, D Nauck, R Kruse Expert systems with Applications 36 (1), 155-164, 2009 | 103 | 2009 |
| On exploiting the power of time in data mining M Böttcher, F Höppner, M Spiliopoulou ACM SIGKDD Explorations Newsletter 10 (2), 3-11, 2008 | 91 | 2008 |
| Contrast and change mining M Boettcher Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (3 …, 2011 | 54 | 2011 |
| Data processing method for controlling a network M Boettcher, D Nauck, D Ruta, M Spott US Patent 8,407,176, 2013 | 40 | 2013 |
| Method for capturing local and evolving clusters M Boettcher, F Hoeppner US Patent 7,885,791, 2011 | 30 | 2011 |
| Predicting future decision trees from evolving data M Böttcher, M Spott, R Kruse 2008 Eighth IEEE International Conference on Data Mining, 33-42, 2008 | 21 | 2008 |
| Towards a framework for change detection in data sets M Böttcher, D Nauck, D Ruta, M Spott International Conference on Innovative Techniques and Applications of …, 2006 | 21 | 2006 |
| A framework for discovering interesting business changes from data M Böttcher, D Nauck, C Borgelt, R Kruse BT Technology Journal 24, 219-228, 2006 | 13 | 2006 |
| From change mining to relevance feedback: A unified view on assessing rule interestingness M Boettcher, G Ruß, D Nauck, R Kruse Post-Mining of association rules: Techniques for effective knowledge …, 2009 | 12 | 2009 |
| Parallel universes and local patterns M Berthold, K Morik, A Siebes, B Crémilleux, A Soulet, B Wiswedel, ... Internat. Begegnungs-und Forschungszentrum für Informatik, 2007 | 12 | 2007 |
| Detecting temporally redundant association rules M Bottcher, M Spott, D Nauck Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005 | 11 | 2005 |
| A condensed representation of itemsets for analyzing their evolution over time M Boettcher, M Spott, R Kruse Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 8 | 2009 |
| Matching partitions over time to reliably capture local clusters in noisy domains F Höppner, M Böttcher European Conference on Principles of Data Mining and Knowledge Discovery …, 2007 | 8 | 2007 |
| Relevance feedback for association rules using fuzzy score aggregation G Russ, M Bottcher, R Kruse NAFIPS 2007-2007 Annual Meeting of the North American Fuzzy Information …, 2007 | 8 | 2007 |
| A framework for discovering and analyzing changing customer segments M Böttcher, M Spott, D Nauck Advances in Data Mining. Theoretical Aspects and Applications: 7th …, 2007 | 6 | 2007 |
| An algorithm for anticipating future decision trees from concept-drifting data M Böttcher, M Spott, R Kruse International Conference on Innovative Techniques and Applications of …, 2008 | 4 | 2008 |
| Temporal aspects in data mining R Kruse, M Steinbrecher, M Boettcher Proceedings of the 2010 World Congress on Computational Intelligence, 18-23, 2010 | 3 | 2010 |
| Relevance feedback for association rules by leveraging concepts from information retrieval G Ruß, D Nauck, M Böttcher, R Kruse International Conference on Innovative Techniques and Applications of …, 2007 | 3 | 2007 |
| Modelling customer satisfaction using bayesian networks J Fatah, D Nauck, M Boettcher Proc. 11th Int. Conf. Information Processing and Management of Uncertainty …, 2006 | 2 | 2006 |
| On utilising change over time in data mining M Böttcher Magdeburg, Universität, Diss., 2013, 2013 | 1 | 2013 |
Rudolf KruseProfessor of Computer Science, Otto von Guericke University of MagdeburgVerified email at ovgu.de
