| On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ... Data mining and knowledge discovery 30 (4), 891-927, 2016 | 353 | 2016 |
| Evaluating clustering in subspace projections of high dimensional data E Müller, S Günnemann, I Assent, T Seidl Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009 | 318 | 2009 |
| 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 | 264 | 2011 |
| DUSC: Dimensionality unbiased subspace clustering I Assent, R Krieger, E Müller, T Seidl seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007 | 154 | 2007 |
| Clicks: An effective algorithm for mining subspace clusters in categorical datasets MJ Zaki, M Peters, I Assent, T Seidl Data & Knowledge Engineering 60 (1), 51-70, 2007 | 128 | 2007 |
| INSCY: Indexing subspace clusters with in-process-removal of redundancy I Assent, R Krieger, E Müller, T Seidl 2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008 | 116 | 2008 |
| The TS-tree: efficient time series search and retrieval I Assent, R Krieger, F Afschari, T Seidl Proceedings of the 11th international conference on Extending database …, 2008 | 96 | 2008 |
| Anyout: Anytime outlier detection on streaming data I Assent, P Kranen, C Baldauf, T Seidl International Conference on Database Systems for Advanced Applications, 228-242, 2012 | 94 | 2012 |
| Clustering high dimensional data I Assent Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (4 …, 2012 | 93 | 2012 |
| Outsourced similarity search on metric data assets ML Yiu, I Assent, CS Jensen, P Kalnis IEEE Transactions on knowledge and data engineering 24 (2), 338-352, 2010 | 87 | 2010 |
| Relevant subspace clustering: Mining the most interesting non-redundant concepts in high dimensional data E Müller, I Assent, S Günnemann, R Krieger, T Seidl 2009 Ninth IEEE International Conference on Data Mining, 377-386, 2009 | 84 | 2009 |
| Explaining outliers by subspace separability B Micenková, RT Ng, XH Dang, I Assent 2013 IEEE 13th international conference on data mining, 518-527, 2013 | 83 | 2013 |
| OutRank: ranking outliers in high dimensional data E Muller, I Assent, U Steinhausen, T Seidl 2008 IEEE 24th international conference on data engineering workshop, 600-603, 2008 | 82 | 2008 |
| Approximation techniques for indexing the earth mover's distance in multimedia databases I Assent, A Wenning, T Seidl 22nd International Conference on Data Engineering (ICDE'06), 11-11, 2006 | 81 | 2006 |
| 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 |
| Outlier ranking via subspace analysis in multiple views of the data E Müller, I Assent, P Iglesias, Y Mülle, K Böhm 2012 IEEE 12th international conference on data mining, 529-538, 2012 | 76 | 2012 |
| Anticipatory DTW for efficient similarity search in time series databases I Assent, M Wichterich, R Krieger, H Kremer, T Seidl Proceedings of the VLDB Endowment 2 (1), 826-837, 2009 | 72 | 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 | 70 | 2008 |
| VISA: visual subspace clustering analysis I Assent, R Krieger, E Müller, T Seidl ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007 | 70 | 2007 |
| Discriminative features for identifying and interpreting outliers XH Dang, I Assent, RT Ng, A Zimek, E Schubert 2014 IEEE 30th international conference on data engineering, 88-99, 2014 | 65 | 2014 |
