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| Preliminary Mariner 9 report on the geology of Mars JF McCauley, MH Carr, JA Cutts, WK Hartmann, H Masursky, DJ Milton, ... Icarus 17 (2), 289-327, 1972 | 318 | 1972 |
| The ClusTree: indexing micro-clusters for anytime stream mining P Kranen, I Assent, C Baldauf, T Seidl Knowledge and information systems 29 (2), 249-272, 2011 | 266 | 2011 |
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| An effective evaluation measure for clustering on evolving data streams H Kremer, P Kranen, T Jansen, T Seidl, A Bifet, G Holmes, B Pfahringer Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 98 | 2011 |
| Self-adaptive anytime stream clustering P Kranen, I Assent, C Baldauf, T Seidl 2009 Ninth IEEE International Conference on Data Mining, 249-258, 2009 | 78 | 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 | 71 | 2008 |
| 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 | 63 | 2009 |
| MOA: a real-time analytics open source framework A Bifet, G Holmes, B Pfahringer, J Read, P Kranen, H Kremer, T Jansen, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 53 | 2011 |
| Harnessing the strengths of anytime algorithms for constant data streams P Kranen, T Seidl Data Mining and Knowledge Discovery 19 (2), 245-260, 2009 | 40 | 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 | 30 | 2010 |
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| 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 | 23 | 2011 |
| Subspace anytime stream clustering M Hassani, P Kranen, R Saini, T Seidl Proceedings of the 26th International Conference on Scientific and …, 2014 | 18 | 2014 |
| MC-tree: Improving bayesian anytime classification P Kranen, S Günnemann, S Fries, T Seidl International Conference on Scientific and Statistical Database Management …, 2010 | 17 | 2010 |
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