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| The clustree: indexing micro-clusters for anytime stream mining P Kranen, I Assent, C Baldauf, T Seidl Knowledge and information systems 29, 249-272, 2011 | 348 | 2011 |
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| Anyout: Anytime outlier detection on streaming data I Assent, P Kranen, C Baldauf, T Seidl Database Systems for Advanced Applications: 17th International Conference …, 2012 | 133 | 2012 |
| Self-adaptive anytime stream clustering P Kranen, I Assent, C Baldauf, T Seidl 2009 Ninth IEEE International Conference on Data Mining, 249-258, 2009 | 91 | 2009 |
| Efficient emd-based similarity search in multimedia databases via flexible dimensionality reduction M Wichterich, I Assent, P Kranen, T Seidl Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 77 | 2008 |
| MOA: a real-time analytics open source framework A Bifet, G Holmes, B Pfahringer, J Read, P Kranen, H Kremer, T Jansen, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 70 | 2011 |
| Indexing density models for incremental learning and anytime classification on data streams T Seidl, I Assent, P Kranen, R Krieger, J Herrmann Proceedings of the 12th international conference on extending database …, 2009 | 69 | 2009 |
| Harnessing the strengths of anytime algorithms for constant data streams P Kranen, T Seidl Data Mining and Knowledge Discovery 19, 245-260, 2009 | 41 | 2009 |
| Clustering performance on evolving data streams: Assessing algorithms and evaluation measures within moa P Kranen, H Kremer, T Jansen, T Seidl, A Bifet, G Holmes, B Pfahringer 2010 IEEE International Conference on Data Mining Workshops, 1400-1403, 2010 | 33 | 2010 |
| Pipeline generation for data stream actuated control ADB De Septfontaines, M Cozowicz, P Kranen, T Santen US Patent App. 14/573,866, 2016 | 31 | 2016 |
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| Massive online analysis manual A Bifet, R Kirkby, P Kranen, P Reutemann University of Waikato, New Zealand: Centre for Open Software Innovation 11 …, 2009 | 30 | 2009 |
| Precise anytime clustering of noisy sensor data with logarithmic complexity M Hassani, P Kranen, T Seidl Proceedings of the Fifth International Workshop on Knowledge Discovery from …, 2011 | 28 | 2011 |
| Subspace anytime stream clustering M Hassani, P Kranen, R Saini, T Seidl Proceedings of the 26th International Conference on Scientific and …, 2014 | 20 | 2014 |
| MC-tree: Improving bayesian anytime classification P Kranen, S Günnemann, S Fries, T Seidl Scientific and Statistical Database Management: 22nd International …, 2010 | 19 | 2010 |
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