Arthur Zimek

According to our database, Arthur Zimek authored at least 144 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Randomized PCA Forest for Outlier Detection.

Muhammad Rajabinasab, Farhad Pakdaman, Moncef Gabbouj, Peter Schneider-Kamp, Arthur Zimek

CoRR, August, 2025

Disjoint Generative Models.

Anton Danholt Lautrup, Muhammad Rajabinasab, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp

CoRR, July, 2025

Systematic Review of Generative Modelling Tools and Utility Metrics for Fully Synthetic Tabular Data.

Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp

ACM Comput. Surv., April, 2025

A comparative evaluation of clustering-based outlier detection.

Braulio Valentin Sanchez Vinces, Erich Schubert, Arthur Zimek, Robson L. F. Cordeiro

Data Min. Knowl. Discov., March, 2025

What do anomaly scores actually mean? Dynamic characteristics beyond accuracy.

Félix Iglesias Vázquez, Henrique O. Marques, Arthur Zimek, Tanja Zseby

Data Min. Knowl. Discov., January, 2025

Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data.

Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp

Data Min. Knowl. Discov., January, 2025

Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation - Extended Version.

Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek

CoRR, January, 2025

Parameterization-free clustering with sparse data observers.

Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek

Inf. Syst., 2025

Bayesian label distribution propagation: A semi-supervised probabilistic k nearest neighbor classifier.

Jonatan M. N. Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello

Inf. Syst., 2025

Randomized PCA forest for approximate k-nearest neighbor search.

Muhammad Rajabinasab, Farhad Pakdaman, Arthur Zimek, Moncef Gabbouj

Expert Syst. Appl., 2025

Towards Semi-supervised Subspace Learning for Outlier Detection in Big Data.

Muhammad Rajabinasab, Anton Danholt Lautrup, Peter Schneider-Kamp, Arthur Zimek

Proceedings of the Similarity Search and Applications - 18th International Conference, 2025

Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers.

Camilla Birch Okkels, Erik Thordsen, Martin Aumüller, Arthur Zimek, Erich Schubert

Proceedings of the Similarity Search and Applications - 18th International Conference, 2025

Similarity Based on Resample Exposure.

Anton Danholt Lautrup, Hafiz Saud Arshad, Tobias Hyrup, Muhammad Rajabinasab, Arthur Zimek, Peter Schneider-Kamp

Proceedings of the Similarity Search and Applications - 18th International Conference, 2025

Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation.

Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

High-dimensional density-based clustering using locality-sensitive hashing.

Camilla Birch Okkels, Martin Aumüller, Viktor Bello Thomsen, Arthur Zimek

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures.

Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek

Data Min. Knowl. Discov., November, 2024

Transparent Neighborhood Approximation for Text Classifier Explanation.

Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder

CoRR, 2024

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version).

Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf

CoRR, 2024

FSDEM: Feature Selection Dynamic Evaluation Metric.

Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek

CoRR, 2024

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis.

Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek

CoRR, 2024

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers.

Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

A Dynamic Evaluation Metric for Feature Selection.

Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs.

Camilla Birch Okkels, Martin Aumüller, Arthur Zimek

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

Dimensionality-Aware Outlier Detection.

Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing.

Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Anomaly detection in streaming data: A comparison and evaluation study.

Félix Iglesias Vázquez, Alexander Hartl, Tanja Zseby, Arthur Zimek

Expert Syst. Appl., December, 2023

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles.

Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Data Min. Knowl. Discov., 2023

Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data.

Tobias Hyrup, Anton Danholt Lautrup, Arthur Zimek, Peter Schneider-Kamp

CoRR, 2023

Explaining text classifiers through progressive neighborhood approximation with realistic samples.

Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder

CoRR, 2023

SDOclust: Clustering with Sparse Data Observers.

Félix Iglesias, Tanja Zseby, Alexander Hartl, Arthur Zimek

Proceedings of the Similarity Search and Applications - 16th International Conference, 2023

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems.

Jonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Similarity-Based Unsupervised Evaluation of Outlier Detection.

Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities.

Conor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke, Arthur Zimek

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2022

Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection.

Erik Andersen, Marco Chiarandini, Marwan Hassani, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Power of Explanations: Towards automatic debiasing in hate speech detection.

Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Unsupervised Representation Learning on Attributed Multiplex Network.

Rui Zhang, Arthur Zimek, Peter Schneider-Kamp

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Simple Meta-path-free Framework for Heterogeneous Network Embedding.

Rui Zhang, Arthur Zimek, Peter Schneider-Kamp

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Clustering refinement.

Félix Iglesias, Tanja Zseby, Arthur Zimek

Int. J. Data Sci. Anal., 2021

Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation.

Jonatan Møller Nuutinen Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities.

Jonatan Møller Nuutinen Gøttcke, Arthur Zimek

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Detecting Wandering Behavior of People with Dementia.

Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek

Proceedings of the 2021 International Conference on Data Mining, 2021

XPROAX-Local explanations for text classification with progressive neighborhood approximation.

Yi Cai, Arthur Zimek, Eirini Ntoutsi

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Density-based clustering.

Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2020

Absolute Cluster Validity.

Félix Iglesias, Tanja Zseby, Arthur Zimek

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Correction to: A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2020

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.

Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann

Big Data, 2020

Explainable Detection of Zero Day Web Attacks.

Jonas Herskind Sejr, Arthur Zimek, Peter Schneider-Kamp

Proceedings of the 3rd International Conference on Data Intelligence and Security, 2020

Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level.

Rui Zhang, Peter Schneider-Kamp, Arthur Zimek

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories.

Rui Zhang, Maéva Vignes, Ulrich Steiner, Arthur Zimek

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Interpretability and Refinement of Clustering.

Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2019

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation.

Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek

CoRR, 2019

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg".

Erich Schubert, Arthur Zimek

CoRR, 2019

Outlier detection in graphs: A study on the impact of multiple graph models.

Guilherme Oliveira Campos, Edré Moreira, Wagner Meira Jr., Arthur Zimek

Comput. Sci. Inf. Syst., 2019

MDCGen: Multidimensional Dataset Generator for Clustering.

Félix Iglesias, Tanja Zseby, Daniel C. Ferreira, Arthur Zimek

J. Classif., 2019

Subspace Determination Through Local Intrinsic Dimensional Decomposition.

Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).

Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann

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), 2019

Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms.

Félix Iglesias, Alexander Hartl, Tanja Zseby, Arthur Zimek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Outlier Detection.

Arthur Zimek, Erich Schubert

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Subspace Clustering Techniques.

Peer Kröger, Arthur Zimek

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

There and back again: Outlier detection between statistical reasoning and data mining algorithms.

Arthur Zimek, Peter Filzmoser

WIREs Data Mining Knowl. Discov., 2018

Outlier Detection in Urban Traffic Data.

Youcef Djenouri, Arthur Zimek

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Outlier Detection in Graphs: On the Impact of Multiple Graph Models.

Guilherme Oliveira Campos, Wagner Meira Jr., Arthur Zimek

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

A unified framework of density-based clustering for semi-supervised classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

On the Correlation Between Local Intrinsic Dimensionality and Outlierness.

Michael E. Houle, Erich Schubert, Arthur Zimek

Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

An Unsupervised Boosting Strategy for Outlier Detection Ensembles.

Guilherme Oliveira Campos, Arthur Zimek, Wagner Meira Jr.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Outlier Detection Based on Low Density Models.

Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Outlier Detection in Urban Traffic Flow Distributions.

Youcef Djenouri, Arthur Zimek, Marco Chiarandini

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Dimensional Testing for Reverse k-Nearest Neighbor Search.

Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek

Proc. VLDB Endow., 2017

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Knowl. Inf. Syst., 2017

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles.

Evelyn Kirner, Erich Schubert, Arthur Zimek

Proceedings of the Similarity Search and Applications - 10th International Conference, 2017

Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets.

Daniel Basaran, Eirini Ntoutsi, Arthur Zimek

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report].

Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek

SIGKDD Explor., 2016

On strategies for building effective ensembles of relative clustering validity criteria.

Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Knowl. Inf. Syst., 2016

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle

Data Min. Knowl. Discov., 2016

On the Evaluation of Outlier Detection and One-Class Classification Methods.

Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

ACM Trans. Knowl. Discov. Data, 2015

Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9).

Laurent Amsaleg, Michael E. Houle, Vincent Oria, Arthur Zimek

NII Shonan Meet. Rep., 2015

A Framework for Clustering Uncertain Data.

Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Züfle, Klaus Arthur Schmid, Arthur Zimek

Proc. VLDB Endow., 2015

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives.

Arthur Zimek, Jilles Vreeken

Mach. Learn., 2015

On the internal evaluation of unsupervised outlier detection.

Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Outlier Detection and Trend Detection: Two Sides of the Same Coin.

Erich Schubert, Michael Weiler, Arthur Zimek

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles.

Erich Schubert, Arthur Zimek, Hans-Peter Kriegel

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection.

Erich Schubert, Arthur Zimek, Hans-Peter Kriegel

Data Min. Knowl. Discov., 2014

Data perturbation for outlier detection ensembles.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Generalized Outlier Detection with Flexible Kernel Density Estimates.

Erich Schubert, Arthur Zimek, Hans-Peter Kriegel

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Density-Based Clustering Validation.

Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Representative clustering of uncertain data.

Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Discriminative features for identifying and interpreting outliers.

Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Model Selection for Semi-Supervised Clustering.

Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.

Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the Advances in Artificial Intelligence, 2014

Frequent Pattern Mining Algorithms for Data Clustering.

Arthur Zimek, Ira Assent, Jilles Vreeken

Proceedings of the Frequent Pattern Mining, 2014

2013

Ensembles for unsupervised outlier detection: challenges and research questions a position paper.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

SIGKDD Explor., 2013

Dimensionality and Scalability (NII Shonan Meeting 2013-4).

Michael E. Houle, Vincent Oria, Arthur Zimek

NII Shonan Meet. Rep., 2013

A survey on enhanced subspace clustering.

Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong

Data Min. Knowl. Discov., 2013

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

Data Min. Knowl. Discov., 2013

Geodetic Distance Queries on R-Trees for Indexing Geographic Data.

Erich Schubert, Arthur Zimek, Hans-Peter Kriegel

Proceedings of the Advances in Spatial and Temporal Databases, 2013

Interactive data mining with 3D-parallel-coordinate-trees.

Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Subsampling for efficient and effective unsupervised outlier detection ensembles.

Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Clustering High-Dimensional Data.

Arthur Zimek

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Subspace clustering.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2012

A survey on unsupervised outlier detection in high-dimensional numerical data.

Arthur Zimek, Erich Schubert, Hans-Peter Kriegel

Stat. Anal. Data Min., 2012

On Evaluation of Outlier Rankings and Outlier Scores.

Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Density-based Projected Clustering over High Dimensional Data Streams.

Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Outlier Detection in Arbitrarily Oriented Subspaces.

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Evaluation of Clusterings - Metrics and Visual Support.

Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Density-based clustering.

Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2011

Density Based Subspace Clustering over Dynamic Data.

Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2011

Quality of Similarity Rankings in Time Series.

Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek

Proceedings of the Advances in Spatial and Temporal Databases, 2011

Spatial Outlier Detection: Data, Algorithms, Visualizations.

Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Proceedings of the Advances in Spatial and Temporal Databases, 2011

Interpreting and Unifying Outlier Scores.

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

When Pattern Met Subspace Cluster.

Jilles Vreeken, Arthur Zimek

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Evaluation of Multiple Clustering Solutions.

Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

2010

A Study of Hierarchical and Flat Classification of Proteins.

Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Investigating a Correlation between Subcellular Localization and Fold of Proteins.

Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek

J. Univers. Comput. Sci., 2010

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2010

Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces.

Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2010

Towards subspace clustering on dynamic data: an incremental version of PreDeCon.

Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek

Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, 2010

Subspace similarity search using the ideas of ranking and top-k retrieval.

Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek

Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Similarity Search in Time Series of Dynamical Model-based Systems.

Kyoji Kawagoe, Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Arthur Zimek, Andreas Züfle

Proceedings of the Database and Expert Systems Applications, 2010

Visual Evaluation of Outlier Detection Models.

Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek

Proceedings of the Database Systems for Advanced Applications, 2010

2009

Subspace Clustering Techniques.

Peer Kröger, Arthur Zimek

Proceedings of the Encyclopedia of Database Systems, 2009

Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

ACM Trans. Knowl. Discov. Data, 2009

Correlation clustering.

Arthur Zimek

SIGKDD Explor., 2009

Subspace and projected clustering: experimental evaluation and analysis.

Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander

Knowl. Inf. Syst., 2009

ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series.

Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

Proceedings of the Advances in Spatial and Temporal Databases, 2009

Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

LoOP: local outlier probabilities.

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Global Correlation Clustering Based on the Hough Transform.

Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek

Stat. Anal. Data Min., 2008

Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

Proc. VLDB Endow., 2008

A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms.

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2008

ELKI: A Software System for Evaluation of Subspace Clustering Algorithms.

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2008

Robust Clustering in Arbitrarily Oriented Subspaces.

Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek

Proceedings of the SIAM International Conference on Data Mining, 2008

Angle-based outlier detection in high-dimensional data.

Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Supervised Ensembles of Prediction Methods for Subcellular Localization.

Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek

Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

2007

Future trends in data mining.

Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek

Data Min. Knowl. Discov., 2007

On Exploring Complex Relationships of Correlation Clusters.

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Robust, Complete, and Efficient Correlation Clustering.

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Detection and Visualization of Subspace Cluster Hierarchies.

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek

Proceedings of the Advances in Databases: Concepts, 2007

2006

Mining Hierarchies of Correlation Clusters.

Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek

Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Finding Hierarchies of Subspace Clusters.

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Deriving quantitative models for correlation clusters.

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

COSMIC: Conceptually Specified Multi-Instance Clusters.

Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2004

Computing Clusters of Correlation Connected Objects.

Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004