Arthur Zimek - RankMe

161 papers A* 9A 14B 40Journal 64Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	DCFO: Density-Based Counterfactuals for Outliers. KDD (1) Tommaso Amico, Pernille Matthews, Lena Krieger, Arthur Zimek, Ira Assent
2025	J	`jnl`	A comparative evaluation of clustering-based outlier detection. Data Min. Knowl. Discov. Braulio Valentin Sanchez Vinces, Erich Schubert, Arthur Zimek, Robson L. F. Cordeiro
2025	B	`conf`	Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers. SISAP Camilla Birch Okkels, Erik Thordsen, Martin Aumüller, Arthur Zimek, Erich Schubert
2025	J	`jnl`	Bayesian label distribution propagation: A semi-supervised probabilistic k nearest neighbor classifier. Inf. Syst. Jonatan M. N. Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello
2025	J	`jnl`	DCFO: Density-Based Counterfactuals for Outliers - Additional Material. CoRR Tommaso Amico, Pernille Matthews, Lena Krieger, Arthur Zimek, Ira Assent
2025	J	`jnl`	Disjoint Generative Models. CoRR Anton Danholt Lautrup, Muhammad Rajabinasab, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp
2025	—	`conf`	DualEx: Dual-Space Clustering for Regional Explanations. ICDM (Workshops) Pernille Matthews, Tommaso Amico, Arthur Zimek, Ira Assent
2025	B	`conf`	High-dimensional density-based clustering using locality-sensitive hashing. EDBT Camilla Birch Okkels, Martin Aumüller, Viktor Bello Thomsen, Arthur Zimek
2025	—	`conf`	Interpreting and Unifying Anomaly Scores with Antagonistic Fuzzy Sets. FUZZ Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek
2025	J	`jnl`	Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation - Extended Version. CoRR Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek
2025	A	`conf`	Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation. SDM Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek
2025	J	`jnl`	Parameterization-free clustering with sparse data observers. Inf. Syst. Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek
2025	J	`jnl`	Randomized PCA Forest for Outlier Detection. CoRR Muhammad Rajabinasab, Farhad Pakdaman, Moncef Gabbouj, Peter Schneider-Kamp, Arthur Zimek
2025	J	`jnl`	Randomized PCA forest for approximate k-nearest neighbor search. Expert Syst. Appl. Muhammad Rajabinasab, Farhad Pakdaman, Arthur Zimek, Moncef Gabbouj
2025	B	`conf`	Similarity Based on Resample Exposure. SISAP Anton Danholt Lautrup, Hafiz Saud Arshad, Tobias Hyrup, Muhammad Rajabinasab, Arthur Zimek, Peter Schneider-Kamp
2025	J	`jnl`	Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data. Data Min. Knowl. Discov. Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp
2025	J	`jnl`	Systematic Review of Generative Modelling Tools and Utility Metrics for Fully Synthetic Tabular Data. ACM Comput. Surv. Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp
2025	B	`conf`	Towards Semi-supervised Subspace Learning for Outlier Detection in Big Data. SISAP Muhammad Rajabinasab, Anton Danholt Lautrup, Peter Schneider-Kamp, Arthur Zimek
2025	J	`jnl`	What do anomaly scores actually mean? Dynamic characteristics beyond accuracy. Data Min. Knowl. Discov. Félix Iglesias Vázquez, Henrique O. Marques, Arthur Zimek, Tanja Zseby
2024	B	`conf`	A Dynamic Evaluation Metric for Feature Selection. SISAP Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek
2024	A	`conf`	Dimensionality-Aware Outlier Detection. SDM Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024	J	`jnl`	Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. CoRR Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024	J	`jnl`	Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures. Data Min. Knowl. Discov. Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek
2024	J	`jnl`	FSDEM: Feature Selection Dynamic Evaluation Metric. CoRR Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek
2024	B	`conf`	On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs. SISAP Camilla Birch Okkels, Martin Aumüller, Arthur Zimek
2024	J	`jnl`	Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version). CoRR Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf
2024	B	`conf`	Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. SISAP Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf
2024	J	`jnl`	SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data. CoRR Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp
2024	B	`conf`	Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. DSAA Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2024	J	`jnl`	Transparent Neighborhood Approximation for Text Classifier Explanation. CoRR Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2023	A	`conf`	An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. SDM Jonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek
2023	J	`jnl`	Anomaly detection in streaming data: A comparison and evaluation study. Expert Syst. Appl. Félix Iglesias Vázquez, Alexander Hartl, Tanja Zseby, Arthur Zimek
2023	J	`jnl`	Explaining text classifiers through progressive neighborhood approximation with realistic samples. CoRR Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2023	J	`jnl`	On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. Data Min. Knowl. Discov. Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2023	B	`conf`	SDOclust: Clustering with Sparse Data Observers. SISAP Félix Iglesias, Tanja Zseby, Alexander Hartl, Arthur Zimek
2023	J	`jnl`	Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data. CoRR Tobias Hyrup, Anton Danholt Lautrup, Arthur Zimek, Peter Schneider-Kamp
2022	A	`conf`	A Simple Meta-path-free Framework for Heterogeneous Network Embedding. CIKM Rui Zhang, Arthur Zimek, Peter Schneider-Kamp
2022	—	`conf`	Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities. MLSA@PKDD/ECML Conor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke, Arthur Zimek
2022	B	`conf`	Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection. MDM Erik Andersen, Marco Chiarandini, Marwan Hassani, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek
2022	B	`conf`	Power of Explanations: Towards automatic debiasing in hate speech detection. DSAA Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
2022	J	`jnl`	Power of Explanations: Towards automatic debiasing in hate speech detection. CoRR Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
2022	B	`conf`	Similarity-Based Unsupervised Evaluation of Outlier Detection. SISAP Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2022	A	`conf`	Unsupervised Representation Learning on Attributed Multiplex Network. CIKM Rui Zhang, Arthur Zimek, Peter Schneider-Kamp
2021	J	`jnl`	Clustering refinement. Int. J. Data Sci. Anal. Félix Iglesias, Tanja Zseby, Arthur Zimek
2021	—	`conf`	Detecting Wandering Behavior of People with Dementia. ICDM (Workshops) Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek
2021	J	`jnl`	Detecting Wandering Behavior of People with Dementia. CoRR Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek
2021	B	`conf`	Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities. SISAP Jonatan Møller Nuutinen Gøttcke, Arthur Zimek
2021	B	`conf`	Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation. SISAP Jonatan Møller Nuutinen Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello
2021	B	`conf`	XPROAX-Local explanations for text classification with progressive neighborhood approximation. DSAA Yi Cai, Arthur Zimek, Eirini Ntoutsi
2021	J	`jnl`	XPROAX-Local explanations for text classification with progressive neighborhood approximation. CoRR Yi Cai, Arthur Zimek, Eirini Ntoutsi
2020	J	`jnl`	Absolute Cluster Validity. IEEE Trans. Pattern Anal. Mach. Intell. Félix Iglesias, Tanja Zseby, Arthur Zimek
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Correction to: A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2020	J	`jnl`	Density-based clustering. WIREs Data Mining Knowl. Discov. Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020	—	`conf`	Explainable Detection of Zero Day Web Attacks. ICDIS Jonas Herskind Sejr, Arthur Zimek, Peter Schneider-Kamp
2020	—	`conf`	Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level. ICAART (2) Rui Zhang, Peter Schneider-Kamp, Arthur Zimek
2020	J	`jnl`	Internal Evaluation of Unsupervised Outlier Detection. ACM Trans. Knowl. Discov. Data Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek
2020	B	`conf`	Interpretability and Refinement of Clustering. DSAA Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek
2020	B	`conf`	Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories. DSAA Rui Zhang, Maéva Vignes, Ulrich Steiner, Arthur Zimek
2020	B	`ed.`	Similarity Search and Applications - 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings SISAP Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh
2019	—	`conf`	1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2019	J	`jnl`	A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2019	—	`conf`	Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms. PKDD/ECML Workshops (2) Félix Iglesias, Alexander Hartl, Tanja Zseby, Arthur Zimek
2019	J	`jnl`	ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg". CoRR Erich Schubert, Arthur Zimek
2019	J	`jnl`	MDCGen: Multidimensional Dataset Generator for Clustering. J. Classif. Félix Iglesias, Tanja Zseby, Daniel C. Ferreira, Arthur Zimek
2019	J	`jnl`	Outlier detection in graphs: A study on the impact of multiple graph models. Comput. Sci. Inf. Syst. Guilherme Oliveira Campos, Edré Moreira, Wagner Meira Jr., Arthur Zimek
2019	—	`ed.`	Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada, May 4th, 2019. EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2019	B	`conf`	Subspace Determination Through Local Intrinsic Dimensional Decomposition. SISAP Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
2019	J	`jnl`	Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. CoRR Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
2018	B	`conf`	A unified framework of density-based clustering for semi-supervised classification. SSDBM Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2018	—	`conf`	An Unsupervised Boosting Strategy for Outlier Detection Ensembles. PAKDD (1) Guilherme Oliveira Campos, Arthur Zimek, Wagner Meira Jr.
2018	B	`conf`	On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP Michael E. Houle, Erich Schubert, Arthur Zimek
2018	—	`conf`	Outlier Detection Based on Low Density Models. ICDM Workshops Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek
2018	—	`conf`	Outlier Detection in Graphs: On the Impact of Multiple Graph Models. WIMS Guilherme Oliveira Campos, Wagner Meira Jr., Arthur Zimek
2018	—	`conf`	Outlier Detection in Urban Traffic Data. WIMS Youcef Djenouri, Arthur Zimek
2018	A*	`conf`	Outlier Detection in Urban Traffic Flow Distributions. ICDM Youcef Djenouri, Arthur Zimek, Marco Chiarandini
2018	—	`ch.`	Outlier Detection. Encyclopedia of Database Systems (2nd ed.) Arthur Zimek, Erich Schubert
2018	—	`ch.`	Subspace Clustering Techniques. Encyclopedia of Database Systems (2nd ed.) Peer Kröger, Arthur Zimek
2018	J	`jnl`	There and back again: Outlier detection between statistical reasoning and data mining algorithms. WIREs Data Mining Knowl. Discov. Arthur Zimek, Peter Filzmoser
2017	J	`jnl`	Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek
2017	B	`conf`	Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. SISAP Evelyn Kirner, Erich Schubert, Arthur Zimek
2017	A	`conf`	Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets. SDM Daniel Basaran, Eirini Ntoutsi, Arthur Zimek
2017	J	`jnl`	The (black) art of runtime evaluation: Are we comparing algorithms or implementations? Knowl. Inf. Syst. Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2016	J	`jnl`	MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. SIGKDD Explor. Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek
2016	J	`jnl`	On strategies for building effective ensembles of relative clustering validity criteria. Knowl. Inf. Syst. Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2016	B	`conf`	On the Evaluation of Outlier Detection and One-Class Classification Methods. DSAA Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2016	J	`jnl`	On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
2015	J	`jnl`	A Framework for Clustering Uncertain Data. Proc. VLDB Endow. Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Züfle, Klaus Arthur Schmid, Arthur Zimek
2015	J	`jnl`	Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9). NII Shonan Meet. Rep. Laurent Amsaleg, Michael E. Houle, Vincent Oria, Arthur Zimek
2015	—	`conf`	Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. DASFAA (2) Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2015	J	`jnl`	Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Trans. Knowl. Discov. Data Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
2015	B	`conf`	On the internal evaluation of unsupervised outlier detection. SSDBM Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2015	—	`conf`	Outlier Detection and Trend Detection: Two Sides of the Same Coin. ICDM Workshops Erich Schubert, Michael Weiler, Arthur Zimek
2015	J	`jnl`	The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. Mach. Learn. Arthur Zimek, Jilles Vreeken
2014	—	`conf`	Active Learning Strategies for Semi-Supervised DBSCAN. Canadian AI Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014	B	`conf`	Data perturbation for outlier detection ensembles. SSDBM Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2014	A	`conf`	Density-Based Clustering Validation. SDM Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2014	A*	`conf`	Discriminative features for identifying and interpreting outliers. ICDE Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert
2014	—	`ch.`	Frequent Pattern Mining Algorithms for Data Clustering. Frequent Pattern Mining Arthur Zimek, Ira Assent, Jilles Vreeken
2014	A	`conf`	Generalized Outlier Detection with Flexible Kernel Density Estimates. SDM Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2014	J	`jnl`	Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection. Data Min. Knowl. Discov. Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2014	B	`conf`	Model Selection for Semi-Supervised Clustering. EDBT Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel
2014	A*	`conf`	Representative clustering of uncertain data. KDD Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz
2013	J	`jnl`	A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Min. Knowl. Discov. Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
2013	J	`jnl`	A survey on enhanced subspace clustering. Data Min. Knowl. Discov. Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong
2013	—	`ch.`	Clustering High-Dimensional Data. Data Clustering: Algorithms and Applications Arthur Zimek
2013	J	`jnl`	Dimensionality and Scalability (NII Shonan Meeting 2013-4). NII Shonan Meet. Rep. Michael E. Houle, Vincent Oria, Arthur Zimek
2013	J	`jnl`	Ensembles for unsupervised outlier detection: challenges and research questions a position paper. SIGKDD Explor. Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2013	B	`conf`	Geodetic Distance Queries on R-Trees for Indexing Geographic Data. SSTD Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2013	—	`conf`	Interactive data mining with 3D-parallel-coordinate-trees. SIGMOD Conference Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2013	—	`ed.`	Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013 MultiClust@KDD Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek
2013	A*	`conf`	Subsampling for efficient and effective unsupervised outlier detection ensembles. KDD Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander
2012	—	`ed.`	3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012. MultiClust@SDM Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, Arthur Zimek
2012	J	`jnl`	A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. Arthur Zimek, Erich Schubert, Hans-Peter Kriegel
2012	A	`conf`	Density-based Projected Clustering over High Dimensional Data Streams. SDM Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel
2012	A*	`conf`	Evaluation of Clusterings - Metrics and Visual Support. ICDE Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2012	A	`conf`	On Evaluation of Outlier Rankings and Outlier Scores. SDM Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel
2012	A*	`conf`	Outlier Detection in Arbitrarily Oriented Subspaces. ICDM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2012	J	`jnl`	Subspace clustering. WIREs Data Mining Knowl. Discov. Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2011	B	`conf`	Density Based Subspace Clustering over Dynamic Data. SSDBM Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek
2011	J	`jnl`	Density-based clustering. WIREs Data Mining Knowl. Discov. Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek
2011	—	`conf`	Evaluation of Multiple Clustering Solutions. MultiClust@ECML/PKDD Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2011	A	`conf`	Interpreting and Unifying Outlier Scores. SDM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2011	B	`conf`	Quality of Similarity Rankings in Time Series. SSTD Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2011	B	`conf`	Spatial Outlier Detection: Data, Algorithms, Visualizations. SSTD Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2011	—	`conf`	When Pattern Met Subspace Cluster. MultiClust@ECML/PKDD Jilles Vreeken, Arthur Zimek
2010	J	`jnl`	A Study of Hierarchical and Flat Classification of Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer
2010	B	`conf`	Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2010	J	`jnl`	Investigating a Correlation between Subcellular Localization and Fold of Proteins. J. Univers. Comput. Sci. Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek
2010	—	`conf`	Similarity Search in Time Series of Dynamical Model-based Systems. DEXA Workshops Kyoji Kawagoe, Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Arthur Zimek, Andreas Züfle
2010	B	`conf`	Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. SSDBM Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2010	—	`conf`	Subspace similarity search using the ideas of ranking and top-k retrieval. ICDE Workshops Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2010	—	`conf`	Towards subspace clustering on dynamic data: an incremental version of PreDeCon. StreamKDD@KDD Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek
2010	—	`conf`	Visual Evaluation of Outlier Detection Models. DASFAA (2) Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek
2009	J	`jnl`	Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2009	J	`jnl`	Correlation clustering. SIGKDD Explor. Arthur Zimek
2009	B	`conf`	ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. SSTD Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2009	A	`conf`	LoOP: local outlier probabilities. CIKM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2009	B	`conf`	Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2009	—	`ch.`	Subspace Clustering Techniques. Encyclopedia of Database Systems Peer Kröger, Arthur Zimek
2009	J	`jnl`	Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander
2009	J	`jnl`	Supervised Ensembles of Prediction Methods for Subcellular Localization. J. Bioinform. Comput. Biol. Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek
2008	B	`conf`	A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. SSDBM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2008	A*	`conf`	Angle-based outlier detection in high-dimensional data. KDD Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek
2008	J	`jnl`	Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. Proc. VLDB Endow. Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2008	B	`conf`	ELKI: A Software System for Evaluation of Subspace Clustering Algorithms. SSDBM Elke Achtert, Hans-Peter Kriegel, Arthur Zimek
2008	J	`jnl`	Global Correlation Clustering Based on the Hough Transform. Stat. Anal. Data Min. Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek
2008	A	`conf`	Robust Clustering in Arbitrarily Oriented Subspaces. SDM Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek
2008	B	`conf`	Supervised Ensembles of Prediction Methods for Subcellular Localization. APBC Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek
2007	B	`conf`	Detection and Visualization of Subspace Cluster Hierarchies. DASFAA Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek
2007	J	`jnl`	Future trends in data mining. Data Min. Knowl. Discov. Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek
2007	B	`conf`	On Exploring Complex Relationships of Correlation Clusters. SSDBM Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2007	A	`conf`	Robust, Complete, and Efficient Correlation Clustering. SDM Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2006	A*	`conf`	COSMIC: Conceptually Specified Multi-Instance Clusters. ICDM Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek
2006	A*	`conf`	Deriving quantitative models for correlation clusters. KDD Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
2006	—	`conf`	Finding Hierarchies of Subspace Clusters. PKDD Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek
2006	B	`conf`	Mining Hierarchies of Correlation Clusters. SSDBM Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek
2004	—	`conf`	Computing Clusters of Correlation Connected Objects. SIGMOD Conference Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek