| Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering HP Kriegel, P Kröger, A Zimek Acm transactions on knowledge discovery from data (tkdd) 3 (1), 1-58, 2009 | 1501 | 2009 |
| Density‐based clustering HP Kriegel, P Kröger, J Sander, A Zimek Wiley interdisciplinary reviews: data mining and knowledge discovery 1 (3 …, 2011 | 1260 | 2011 |
| Angle-based outlier detection in high-dimensional data HP Kriegel, M Schubert, A Zimek Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 1150 | 2008 |
| A survey on unsupervised outlier detection in high‐dimensional numerical data A Zimek, E Schubert, HP Kriegel Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (5 …, 2012 | 1073 | 2012 |
| 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 | 866 | 2016 |
| Hierarchical density estimates for data clustering, visualization, and outlier detection RJGB Campello, D Moulavi, A Zimek, J Sander ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 1-51, 2015 | 860 | 2015 |
| LoOP: local outlier probabilities HP Kriegel, P Kröger, E Schubert, A Zimek Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 716 | 2009 |
| Outlier detection in axis-parallel subspaces of high dimensional data HP Kriegel, P Kröger, E Schubert, A Zimek Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …, 2009 | 425 | 2009 |
| Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection E Schubert, A Zimek, HP Kriegel Data mining and knowledge discovery 28, 190-237, 2014 | 390 | 2014 |
| Interpreting and Unifying Outlier Scores HP Kriegel, P Kröger, E Schubert, A Zimek 11th SIAM International Conference on Data Mining (SDM), Mesa, AZ, 2011 | 380 | 2011 |
| Can shared-neighbor distances defeat the curse of dimensionality? ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek Scientific and Statistical Database Management: 22nd International …, 2010 | 365 | 2010 |
| Ensembles for unsupervised outlier detection: challenges and research questions a position paper A Zimek, RJGB Campello, J Sander Acm Sigkdd Explorations Newsletter 15 (1), 11-22, 2014 | 350 | 2014 |
| Density-Based Clustering Validation D Moulavi, PA Jaskowiak, RJGB Campello, A Zimek, J Sander Proceedings of the 14th SIAM International Conference on Data Mining, 839-847, 2014 | 336 | 2014 |
| Outlier Detection Techniques HP Kriegel, P Kröger, A Zimek 10th SIAM International Conference on Data Mining (SDM 2010), Columbus, OH …, 2010 | 318 | 2010 |
| The (black) art of runtime evaluation: Are we comparing algorithms or implementations? HP Kriegel, E Schubert, A Zimek Knowledge and Information Systems 52, 341-378, 2017 | 295 | 2017 |
| Future trends in data mining HP Kriegel, KM Borgwardt, P Kröger, A Pryakhin, M Schubert, A Zimek Data Mining and Knowledge Discovery 15, 87-97, 2007 | 270 | 2007 |
| Subsampling for efficient and effective unsupervised outlier detection ensembles A Zimek, M Gaudet, RJGB Campello, J Sander Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 242 | 2013 |
| Computing clusters of correlation connected objects C Böhm, K Kailing, P Kröger, A Zimek Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 238 | 2004 |
| There and back again: Outlier detection between statistical reasoning and data mining algorithms A Zimek, P Filzmoser Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (6 …, 2018 | 225 | 2018 |
| On Evaluation of Outlier Rankings and Outlier Scores E Schubert, R Wojdanowski, A Zimek, HP Kriegel SDM, 2012 | 220 | 2012 |
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
