Arthur Zimek

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

2018

Outlier Detection.

[BibT_eX]

[DOI]

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

Subspace Clustering Techniques.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Peter Filzmoser

WIREs Data Mining Knowl. Discov., 2018

Outlier Detection in Urban Traffic Data.

[BibT_eX]

[DOI]

Youcef Djenouri

Guilherme Oliveira Campos

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

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

[BibT_eX]

[DOI]

Wagner Meira Jr.

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

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

[BibT_eX]

[DOI]

Jadson Castro Gertrudes

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

On the Correlation Between Local Intrinsic Dimensionality and Outlierness.

[BibT_eX]

[DOI]

Michael E. Houle

Guilherme Oliveira Campos

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

An Unsupervised Boosting Strategy for Outlier Detection Ensembles.

[BibT_eX]

[DOI]

Wagner Meira Jr.

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

Outlier Detection Based on Low Density Models.

[BibT_eX]

[DOI]

Félix Iglesias Vázquez

Tanja Zseby

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

Outlier Detection in Urban Traffic Flow Distributions.

[BibT_eX]

[DOI]

Youcef Djenouri

Marco Chiarandini

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Dimensional Testing for Reverse k-Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

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

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles.

[BibT_eX]

[DOI]

Evelyn Kirner

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.

[BibT_eX]

[DOI]

Daniel Basaran

Eirini Ntoutsi

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

2016

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

[BibT_eX]

[DOI]

SIGKDD Explor., 2016

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

[BibT_eX]

[DOI]

Pablo A. Jaskowiak

Antonio C. S. Furtado

Guilherme Oliveira Campos

Knowl. Inf. Syst., 2016

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

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

[BibT_eX]

[DOI]

Lorne Swersky

Henrique O. Marques

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.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

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

[BibT_eX]

[DOI]

NII Shonan Meet. Rep., 2015

A Framework for Clustering Uncertain Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jilles Vreeken

Mach. Learn., 2015

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

[BibT_eX]

[DOI]

Michael Weiler

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

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

Data perturbation for outlier detection ensembles.

[BibT_eX]

[DOI]

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

Generalized Outlier Detection with Flexible Kernel Density Estimates.

[BibT_eX]

[DOI]

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

Density-Based Clustering Validation.

[BibT_eX]

[DOI]

Pablo A. Jaskowiak

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

Representative clustering of uncertain data.

[BibT_eX]

[DOI]

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

Discriminative features for identifying and interpreting outliers.

[BibT_eX]

[DOI]

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

Model Selection for Semi-Supervised Clustering.

[BibT_eX]

[DOI]

Mojgan Pourrajabi

Randy Goebel

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

Active Learning Strategies for Semi-Supervised DBSCAN.

[BibT_eX]

[DOI]

Jundong Li

Proceedings of the Advances in Artificial Intelligence, 2014

Frequent Pattern Mining Algorithms for Data Clustering.

[BibT_eX]

[DOI]

Ira Assent

Jilles Vreeken

Proceedings of the Frequent Pattern Mining, 2014

2013

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

[BibT_eX]

[DOI]

SIGKDD Explor., 2013

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

[BibT_eX]

[DOI]

Michael E. Houle

Vincent Oria

NII Shonan Meet. Rep., 2013

A survey on enhanced subspace clustering.

[BibT_eX]

[DOI]

Kelvin Sim

Vivekanand Gopalkrishnan

Gao Cong

Data Min. Knowl. Discov., 2013

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2013

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Spatial and Temporal Databases, 2013

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

[BibT_eX]

[DOI]

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

Subsampling for efficient and effective unsupervised outlier detection ensembles.

[BibT_eX]

[DOI]

Matthew Gaudet

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

Clustering High-Dimensional Data.

[BibT_eX]

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Subspace clustering.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2012

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

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2012

On Evaluation of Outlier Rankings and Outlier Scores.

[BibT_eX]

[DOI]

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

Density-based Projected Clustering over High Dimensional Data Streams.

[BibT_eX]

[DOI]

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

Outlier Detection in Arbitrarily Oriented Subspaces.

[BibT_eX]

[DOI]

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

Evaluation of Clusterings - Metrics and Visual Support.

[BibT_eX]

[DOI]

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

2011

Density-based clustering.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Density Based Subspace Clustering over Dynamic Data.

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2011

Quality of Similarity Rankings in Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Spatial and Temporal Databases, 2011

Spatial Outlier Detection: Data, Algorithms, Visualizations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Spatial and Temporal Databases, 2011

Interpreting and Unifying Outlier Scores.

[BibT_eX]

[DOI]

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

When Pattern Met Subspace Cluster.

[BibT_eX]

[DOI]

Jilles Vreeken

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Evaluation of Multiple Clustering Solutions.

[BibT_eX]

[DOI]

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

2010

A Study of Hierarchical and Flat Classification of Proteins.

[BibT_eX]

[DOI]

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

Investigating a Correlation between Subcellular Localization and Fold of Proteins.

[BibT_eX]

[DOI]

J. Univers. Comput. Sci., 2010

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2010

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

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2010

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2010

Visual Evaluation of Outlier Detection Models.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2010

2009

Subspace Clustering Techniques.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2009

Correlation clustering.

[BibT_eX]

[DOI]

SIGKDD Explor., 2009

Subspace and projected clustering: experimental evaluation and analysis.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2009

Supervised Ensembles of Prediction Methods for Subcellular Localization.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2009

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Spatial and Temporal Databases, 2009

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

[BibT_eX]

[DOI]

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

LoOP: local outlier probabilities.

[BibT_eX]

[DOI]

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

2008

Global Correlation Clustering Based on the Hough Transform.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2008

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2008

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

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2008

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

[BibT_eX]

[DOI]

Elke Achtert

Proceedings of the Scientific and Statistical Database Management, 2008

Robust Clustering in Arbitrarily Oriented Subspaces.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

Angle-based outlier detection in high-dimensional data.

[BibT_eX]

[DOI]

Matthias Schubert