Arthur Zimek Institut for Matematik og Datalogi Datalogi Datavidenskab & Statistik Postaddresse: Campusvej 55 5230 Odense M Danmark E-mail: [email protected] Telefon: 65509071 Hjemmeside: http://www.imada.sdu.dk/~zimek/, http://www.imada.sdu.dk/~zimek/

Ansættelse Professor Institut for Matematik og Datalogi Syddansk Universitet Odense M 1. aug. 2016 → present

Professor Datalogi Syddansk Universitet Odense M 1. jan. 1998 → present

Professor Datavidenskab & Statistik Syddansk Universitet Odense M 1. jan. 1998 → present

Guest professor Vienna University of Technology Wien, Østrig 1. maj 2016 → 30. jun. 2016

Guest professor Vienna University of Technology Wien, Østrig 1. apr. 2014 → 30. jun. 2014

Postdoctoral Fellow University of Alberta Edmonton, Canada 1. apr. 2012 → 31. mar. 2013

Research Associate Ludwig-Maximilian University of Munich München, Tyskland 1. okt. 2008 → 31. jul. 2016

Research and Teaching Assistant Ludwig-Maximilian University of Munich München, Tyskland 1. maj 2005 → 30. sep. 2008

Kvalifikationer Datalogi, Dr. rer. nat. habil., Ludwig-Maximilian University of Munich 1. jul. 2011 → 28. okt. 2013 Dimissionsdato: 28. okt. 2013 Datalogi, Dr. rer. nat., Ludwig-Maximilian University of Munich 1. maj 2005 → 30. jun. 2008 Dimissionsdato: 30. jun. 2008 Bioinformatics, Diploma, Ludwig-Maximilian University of Munich 1. okt. 2000 → 30. apr. 2005 Philosophy, Magister Artium, Hochschule für Philosophie München 1. okt. 1997 → 30. sep. 2000 Theology, Diploma, Johannes Gutenberg University Mainz 1. okt. 1992 → 31. okt. 1997

Publications Clustering refinement. / Iglesias, Félix; Zseby, Tanja; Zimek, Arthur. I: International Journal of Data Science and Analytics, 04.08.2021.

Outlier detection with explanations on music streaming data : A case study with danmark music group ltd. / Sejr, Jonas Herskind; Christiansen, Thorbjørn; Dvinge, Nicolai; Hougesen, Dan; Schneider-Kamp, Peter; Zimek, Arthur. I: Applied Sciences (Switzerland), Bind 11, Nr. 5, 2270, 01.03.2021.

Matching research publications to the united nations' sustainable development goals by multi-label-learning with hierarchical categories. / Zhang, Rui; Vignes, Maeva; Steiner, Ulrich; Zimek, Arthur. Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020. red. / Geoff Webb; Zhongfei Zhang; Vincent S. Tseng; Graham Williams; Michalis Vlachos; Longbing Cao. IEEE, 2020. s. 516- 525 9260025.

Similarity Search and Applications : 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings. / Satoh, Shin'ichi (Redaktør); Vadicamo, Lucia (Redaktør); Zimek, Arthur (Redaktør); Carrara, Fabio (Redaktør); Bartolini, Ilaria (Redaktør); Aumüller, Martin (Redaktør); Jónsson, Björn Þór (Redaktør); Pagh, Rasmus (Redaktør). Springer, 2020. 414 s. (Lecture Notes in Computer Science, Bind 12440).

Absolute Cluster Validity. / Iglesias Vazquez, Felix; Zseby, Tanja; Zimek, Arthur. I: I E E E Transactions on Pattern Analysis and Machine Intelligence, Bind 42, Nr. 9, 09.2020, s. 2096-2112.

Internal Evaluation of Unsupervised Outlier Detection. / Marques, Henrique O.; Campello, Ricardo J.G.B.; Sander, Jürg; Zimek, Arthur. I: ACM Transactions on Knowledge Discovery from Data, Bind 14, Nr. 4, 47, 09.07.2020.

Explainable detection of zero day web attacks. / Sejr, Jonas Herskind; Zimek, Arthur; Schneider-Kamp, Peter. Proceedings - 2020 3rd International Conference on Data Intelligence and Security, ICDIS 2020. IEEE, 2020. s. 71-78 9323006.

Density-based clustering. / Campello, Ricardo J.G.B.; Kröger, Peer; Sander, Jörg; Zimek, Arthur. I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bind 10, Nr. 2, e1343, 04.2020.

Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms. / Iglesias, Félix; Hartl, Alexander; Zseby, Tanja; Zimek, Arthur. Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. red. / Peggy Cellier; Kurt Driessens. Springer, 2020. s. 159-175 (Communications in Computer and Information Science, Bind 1168 CCIS).

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. / Koprinska, Irena (Redaktør); Kamp, Michael (Redaktør); Appice, Annalisa (Redaktør); Loglisci, Corrado (Redaktør); Antonie, Luiza (Redaktør); Zimmermann, Albrecht; Guidotti, Riccardo (Redaktør); Özgöbek, Özlem (Redaktør); Ribeiro, Rita P. (Redaktør); Gavaldà, Ricard (Redaktør); Gama, João (Redaktør); Adilova, Linara (Redaktør); Krishnamurthy, Yamuna (Redaktør); Ferreira, Pedro M. (Redaktør); Malerba, Donato (Redaktør); Medeiros, Ibéria (Redaktør); Ceci, Michelangelo (Redaktør); Manco, Giuseppe (Redaktør); Masciari, Elio (Redaktør); Ras, Zbigniew W. (Redaktør); Christen, Peter (Redaktør); Ntoutsi, Eirini; Schubert, Erich; Zimek, Arthur (Redaktør); Monreale, Anna (Redaktør); Biecek, Przemyslaw (Redaktør); Rinzivillo, Salvatore (Redaktør); Kille, Benjamin (Redaktør); Lommatzsch, Andreas (Redaktør); Gulla, Jon Atle (Redaktør). Springer, 2020. 619 s. (Communications in Computer and Information Science, Bind 1323).

Improving semantic similarity of words by retrofitting word vectors in sense level. / Zhang, Rui; Schneider-Kamp, Peter; Zimek, Arthur. Proceedings of the 12th International Conference on Agents and Artificial Intelligence. red. / Ana Rocha; Luc Steels; Jaap van den Herik. SCITEPRESS Digital Library, 2020. s. 108-119 (ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence, Bind 2).

Interpretability and refinement of clustering. / Vazquez, Felix Iglesias; Zseby, Tanja; Zimek, Arthur. Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020. red. / Geoff Webb; Zhongfei Zhang; Vincent S. Tseng; Graham Williams; Michalis Vlachos; Longbing Cao. IEEE, 2020. s. 21-29.

Establishing a many-cytokine signature via multivariate anomaly detection. / Dingle, K.; Zimek, A.; Azizieh, F.; Ansari, A. R. I: Scientific Reports, Bind 9, Nr. 1, 9684, 01.12.2019.

A unified view of density-based methods for semi-supervised clustering and classification. / Castro Gertrudes, Jadson; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J.G.B. I: Data Mining and Knowledge Discovery, Bind 33, Nr. 6, 11.2019, s. 1894-1952.

MDCGen : multidimensional dataset generator for clustering. / Iglesias, Félix; Zseby, Tanja; Ferreira, Daniel; Zimek, Arthur . I: Journal of Classification, Bind 36, Nr. 3, 01.10.2019, s. 599-618.

ELKI: A large open-source library for data analysis : ELKI Release 0.7.5 "Heidelberg". / Schubert, Erich; Zimek, Arthur. I: arxiv.org, 10.02.2019.

Evaluation and experimental design in data mining and machine learning : Motivation and summary of EDML 2019. / Ntoutsi, Eirini; Schubert, Erich; Zimek, Arthur; Zimmermann, Albrecht. I: CEUR Workshop Proceedings, Bind 2436, 2019.

Outlier detection in graphs : A study on the impact of multiple graph models. / Campos, Guilherme Oliveira; Moreira, Edré; Meira, Wagner; Zimek, Arthur. I: Computer Science and Information Systems, Bind 16, Nr. 2, 2019, s. 565-595.

Subspace Determination Through Local Intrinsic Dimensional Decomposition. / Becker, Ruben; Hafnaoui, Imane; Houle, Michael E.; Li, Pan; Zimek, Arthur. Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings. red. / Giuseppe Amato; Claudio Gennaro; Vincent Oria; Miloš Radovanovic. Springer, 2019. s. 281-289 (Lecture Notes in Computer Science, Bind 11807).

Outlier Detection in Urban Traffic Flow Distributions. / Djenouri, Youcef; Zimek, Arthur; Chiarandini, Marco. 2018 IEEE International Conference on Data Mining. IEEE, 2018. s. 935-940.

There and back again: Outlier detection between statistical reasoning and data mining algorithms. / Zimek, Arthur; Filzmoser, Peter. I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bind 8, Nr. 6, e1280, 01.11.2018.

A unified framework of density-based clustering for semi-supervised classification. / Gertrudes, Jadson Castro; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B. Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. red. / Michael Bohlen; Johann Gamper; Peer Kroger; Dimitris Sacharidis. Association for Computing Machinery, 2018. 11.

Outlier Detection in Graphs: On the Impact of Multiple Graph Models. / Campos, Guilherme Oliveira; Meira Jr., Wagner; Zimek, Arthur. Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics: WIMS 2018. red. / Costin Badica; Rajendra Akerkar; Mirjana Ivanovic; Milos Savic; Milos Radovanovic; Sang-Wook Kim; Riccardo Rosati; Yannis Manolopoulos. Association for Computing Machinery, 2018. 21.

Outlier Detection in Urban Traffic Data. / Djenouri, Youcef; Zimek, Arthur. Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018. red. / Costin Badica; Rajendra Akerkar; Mirjana Ivanovic; Milos Savic; Milos Radovanovic; Sang-Wook Kim; Riccardo Rosati; Yannis Manolopoulos. Association for Computing Machinery, 2018. 3.

An Unsupervised Boosting Strategy for Outlier Detection Ensembles. / Campos, Guilherme Oliveira; Zimek, Arthur; Meira Jr., Wagner. Advances in Knowledge Discovery and Data Mining: Proceedings, Part I. red. / Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi. Bind 10937 Springer, 2018. s. 564-576 (Lecture Notes in Computer Science, Bind 10937). (Lecture Notes in Artificial Intelligence, Bind 10937).

On the Correlation Between Local Intrinsic Dimensionality and Outlierness. / Houle, Michael E.; Schubert, Erich; Zimek, Arthur. Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. red. / Stéphane Marchand- Maillet; Yasin N. Silva; Edgar Chávez. Springer VS, 2018. s. 177-191 (Lecture Notes in Computer Science, Bind 11223).

Outlier detection based on low density models. / Iglesias Vazquez, Felix; Zseby, Tanja; Zimek, Arthur. Proceedings of the 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. red. / Jeffrey Yu; Zhenhui Li; Hanghang Tong; Feida Zhu. IEEE Press, 2018. s. 970-979 8637447 (IEEE International Conference on Data Mining Workshops, ICDMW, Bind 2018-November).

Dimensional testing for reverse k-nearest neighbor search. / Casanova, Guillaume; Englmeier, Elias; Houle, Michael E.; Kröger, Peer; Nett, Michael; Schubert, Erich; Zimek, Arthur. I: Proceedings of the VLDB Endowment, Bind 10, Nr. 7, 2017, s. 769-780.

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. / Kirner, Evelyn; Schubert, Erich; Zimek, Arthur. Proceedings of the 10th International Conference on Similarity Search and Applications. red. / Christian Beecks; Felix Borutta; Peer Kröger; Thomas Seidl. Cham : Springer, 2017. s. 173-187 (Lecture Notes in Computer Science, Bind 10609).

Outlier Detection. / Zimek, Arthur; Schubert, Erich. Encyclopedia of Database Systems. red. / Ling Liu; Tamer Öszu. Springer, 2017.

Redundancies in Data and their Effect on the Evaluation of Recommendation Systems : A Case Study on the Amazon Reviews Datasets. / Basaran, Daniel; Ntoutsi, Eirini; Zimek, Arthur. Proceedings of the 2017 SIAM International Conference on Data Mining. Bind 17 Society for Industrial and Applied Mathematics, 2017. s. 390-398 (SIAM Data Mining).

Subspace Clustering Techniques. / Kröger, Peer; Zimek, Arthur. Encyclopedia of Database Systems. red. / Ling Liu; Tamer Öszu. 2. udg. Springer, 2017.

The (black) art of runtime evaluation: Are we comparing algorithms or implementations? / Kriegel, Hans-Peter; Schubert, Erich; Zimek, Arthur. I: Knowledge and Information Systems, Bind 52, Nr. 2, 2017, s. 341–378.

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering : [Workshop Report]. / Assent, Ira; Domeniconi, Carlotta; Gullo, Francesco; Tagarelli, Andrea; Zimek, Arthur. I: S I G K D D Explorations, Bind 18, Nr. 1, 2016, s. 35-38.

On strategies for building effective ensembles of relative clustering validity criteria. / Jaskowiak, Pablo A.; Moulavi, Davoud; Furtado, Antonio C. S.; Campello, Ricardo J. G. B.; Zimek, Arthur; Sander, Jörg. I: Knowledge and Information Systems, Bind 47, Nr. 2, 2016, s. 329-354.

On the Evaluation of Outlier Detection and One-Class Classification Methods. / Swersky, Lorne; Marques, Henrique O.; Sander, Jörg; Campello, Ricardo J. G. B.; Zimek, Arthur. 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . red. / Randall Bilof. Bind 2016 IEEE Press, 2016. s. 1-10.

On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. / Campos, G. O.; Zimek, A.; Sander, J.; Campello, R. J. G. B.; Micenková, B.; Schubert, E.; Assent, I.; Houle, M. E. Proceedings of the LWDA 2016 Workshops: KDML, FGWM, FGIR, and FGDB, Potsdam, Germany. 2016. s. 234.

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. / Campos, Guilherme O. ; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E. I: Data Mining and Knowledge Discovery, Bind 30, Nr. 4, 2016, s. 891-927.

Intrinsic dimensional outlier detection in high-dimensional data. / Von Brünken, Jonathan; Houle, Michael E.; Zimek, Arthur . I: NII Technical Reports, Bind 2015, Nr. 3, 03.2015, s. 1-12.

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. / Zimek, Arthur; Vreeken, Jilles. I: Machine Learning, Bind 98, Nr. 1-2, 01.2015, s. 121-155.

A Framework for Clustering Uncertain Data. / Schubert, Erich; Koos, Alexander; Emrich, Tobias; Züfle, Andreas; Schmid, Klaus Arthur; Zimek, Arthur. I: Proceedings of the VLDB Endowment, Bind 8, Nr. 12, 2015, s. 1976-1979.

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. / Schubert, Erich; Zimek, Arthur; Kriegel, Hans-Peter. Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20- 23, 2015, Proceedings, Part II. red. / Matthias Renz; Cyrus Shahabi; Xiaofang Zhou; Muhammad Aamir Cheema. Bind 9050 Springer, 2015. s. 19-36.

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. / Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg. I: A C M Transactions on Knowledge Discovery from Data, Bind 10, Nr. 1, 5, 2015, s. 1-51.

On the internal evaluation of unsupervised outlier detection. / Marques, Henrique O.; Campello, Ricardo J. G. B.; Zimek, Arthur; Sander, Jörg. Proceedings of the 27th International Conference on Scientific and Statistical Database Management, SSDBM '15, La Jolla, CA, USA, June 29 - July 1, 2015. red. / Amarnath Gupta; Susan L. Rathbun. Association for Computing Machinery, 2015. s. 1-12 7.

Outlier Detection and Trend Detection: Two Sides of the Same Coin. / Schubert, Erich; Weiler, Michael; Zimek, Arthur. IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society Press, 2015. s. 40-46.

Representative clustering of uncertain data. / Züfle, Andreas; Emrich, Tobias; Schmid, Klaus Arthur; Mamoulis, Nikos; Zimek, Arthur; Renz, Matthias. Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2014. s. 243-252.

Frequent pattern mining algorithms for data clustering. / Zimek, Arthur; Assent, Ira; Vreeken, Jilles. Frequent Pattern Mining. red. / C. Aggarwal; J. Han. Springer, 2014. s. 403-423.

Discriminative features for identifying and interpreting outliers. / Dang, Xuan Hong; Assent, Ira; Ng, Raymond T.; Zimek, Arthur; Schubert, Erich. Proceedings of the 2014 IEEE 30th International Conference on Data Engineering. IEEE, 2014. s. 88-99 (Proceedings of the International Conference on Data Engineering).

Local outlier detection reconsidered : A generalized view on locality with applications to spatial, video, and network outlier detection. / Schubert, Erich; Zimek, Arthur; Kriegel, Hans Peter. I: Data Mining and Knowledge Discovery, Bind 28, Nr. 1, 01.2014, s. 190-237.

Active learning strategies for semi-supervised DBSCAN. / Li, Jundong; Sander, Jörg; Campello, Ricardo; Zimek, Arthur. Advances in Artificial Intelligence: Proceedings of the 27th Canadian Conference on Artificial Intelligence. red. / M. Sokolova; P. van Beek. Springer VS, 2014. s. 179-190 (Lecture Notes in Computer Science, Bind 8436).

Data perturbation for outlier detection ensembles. / Zimek, Arthur; Campello, Ricardo J.G.B.; Sander, Jörg. Proceedings of the 26th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 2014. 13.

Density-based clustering validation. / Moulavi, Davoud; Jaskowiak, Pablo A.; Campello, Ricardo J.G.B.; Zimek, Arthur; Sander, Jorg. Proceedings of the 2014 SIAM International Conference on Data Mining. red. / Mohammed Zaki; Zoran Obradovic; Pang Ning-Tan; Arindam Banerjee; Chandrika Kamath; Srinivasan Parthasarathy. Society for Industrial and Applied Mathematics Publications, 2014. s. 839-847.

Generalized outlier detection with flexible kernel density estimates. / Schubert, Erich; Zimek, Arthur; Kriegel, Hans Peter. Proceedings of the 2014 SIAM International Conference on Data Mining. red. / Mohammed Zaki; Zoran Obradovic; Pang Ning-Tan; Arindam Banerjee; Chandrika Kamath; Srinivasan Parthasarathy. Society for Industrial and Applied Mathematics Publications, 2014. s. 542-550.

Model selection for semi-supervised clustering. / Pourrajabi, Mojgan; Zimek, Arthur; Moulavi, Davoud; Sander, Jörg; Campello, Ricardo J.G.B.; Goebel, Randy. Advances in Database Technology - EDBT 2014: Proc. 17th International Conference on Extending Database Technology. red. / Vincent Leroy; Vassilis Christophides; Vassilis Christophides; Stratos Idreos; Anastasios Kementsietsidis; Minos Garofalakis; Sihem Amer-Yahia. OpenProceedings, 2014. s. 331-342.

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. / Campello, R. J.G.B.; Moulavi, D.; Zimek, A.; Sander, J. I: Data Mining and Knowledge Discovery, Bind 27, Nr. 3, 11.2013, s. 344-371.

Preface. / Assent, Ira; Domeniconi, Carlotta; Gullo, Francesco; Tagarelli, Andrea; Zimek, Arthur. MultiClust 2013 - 4th Workshop on Multiple Clusterings, Multi-View Data, and Multi-Source Knowledge-Driven Clustering, in Conj. with the 19th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD 2013. Association for Computing Machinery, 2013.

Clustering High-Dimensional Data. / Zimek, Arthur. Data Clustering: Algorithms and Applications. red. / Charu C. Aggarwal; Chandan K. Reddy. CRC Press, 2013. (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

Geodetic distance queries on R-trees for indexing geographic data. / Schubert, Erich; Zimek, Arthur; Kriegel, Hans Peter. Advances in Spatial and Temporal Databases - 13th International Symposium, SSTD 2013, Proceedings. red. / M. A. Nascimento. Springer, 2013. s. 146-164 (Lecture Notes in Computer Science, Bind 8098).

Subsampling for efficient and effective unsupervised outlier detection ensembles. / Zimek, Arthur; Gaudet, Matthew; Campello, Ricardo J.G.B.; Sander, Jörg. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. red. / Rayid Ghani; Ted E. Senator; Paul Bradley; Rajesh Parekh; Jingrui He. Association for Computing Machinery, 2013. s. 428-436.

Interactive data mining with 3D-parallel-coordinate-trees. / Achtert, Elke; Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2013. s. 1009-1012.

Ensembles for unsupervised outlier detection: challenges and research questions a position paper. / Zimek, Arthur; Campello, Ricardo J. G. B.; Sander, Jörg. I: S I G K D D Explorations, Bind 15, Nr. 1, 06.2013, s. 11-22.

A survey on enhanced subspace clustering. / Sim, Kelvin; Gopalkrishnan, Vivekanand; Zimek, Arthur; Cong, Gao. I: Data Mining and Knowledge Discovery, Bind 26, Nr. 2, 03.2013, s. 332-397.

Density-based projected clustering over high dimensional data streams. / Ntoutsi, Irene; Zimek, Arthur; Palpanas, Themis; Kröger, Peer; Kriegel, Hans Peter. Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. red. / Joydeep Ghosh; Huan Liu; Ian Davidson; Charlotta Domeniconi; Chandrika Kamath. Society for Industrial and Applied Mathematics, 2012. s. 987-998.

On evaluation of outlier rankings and outlier scores. / Schubert, Erich; Wojdanowski, Remigius; Zimek, Arthur; Kriegel, Hans Peter. Proceedings of the 12th SIAM International Conference on Data Mining. red. / Joydeep Ghosh; Huan Liu; Ian Davidson; Carlotta Domeniconi; Chandrika Kamath. 2012. s. 1047-1058.

Outlier detection in arbitrarily oriented subspaces. / Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. Proceedings of the 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, 2012. s. 379-388.

Subspace clustering. / Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bind 2, Nr. 4, 12.2012, s. 351-364.

A survey on unsupervised outlier detection in high-dimensional numerical data. / Zimek, Arthur; Schubert, Erich; Kriegel, Hans Peter. I: Statistical Analysis and Data Mining, Bind 5, Nr. 5, 10.2012, s. 363-387.

Evaluation of clusterings - Metrics and visual support. / Achtert, Elke; Goldhofer, Sascha; Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur. Proceedings of the 2012 IEEE 28th International Conference on Data Engineering. IEEE, 2012. s. 1285-1288 (Proceedings - International Conference on Data Engineering).

Interpreting and unifying outlier scores. / Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. red. / Bing Liu; Huan Liu; Chris Clifton; Takashi Washio; Chandrika Kamath. Society for Industrial and Applied Mathematics, 2011. s. 13-24.

Quality of similarity rankings in time series. / Bernecker, Thomas; Houle, Michael E.; Kriegel, Hans Peter; Kröger, Peer; Renz, Matthias; Schubert, Erich; Zimek, Arthur. Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. red. / D. Pfoser. Springer, 2011. s. 422-440 (Lecture Notes in Computer Science, Bind 6849).

Spatial outlier detection : Data, algorithms, visualizations. / Achtert, Elke; Hettab, Ahmed; Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur. Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. red. / D. Pfoser. Springer, 2011. s. 512-516 (Lecture Notes in Computer Science, Bind 6849).

Density based subspace clustering over dynamic data. / Kriegel, Hans Peter; Kröger, Peer; Ntoutsi, Irene; Zimek, Arthur. Scientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Proceedings. red. / D. Pfoser. Springer, 2011. s. 387-404 (Lecture Notes in Computer Science, Bind 6849).

Density-based clustering. / Kriegel, Hans Peter; Kröger, Peer; Sander, Jörg; Zimek, Arthur. I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bind 1, Nr. 3, 05.2011, s. 231-240.

Evaluation of multiple clustering solutions. / Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur. I: CEUR Workshop Proceedings, Bind 772, 2011, s. 55-66.

When pattern met subspace cluster : A relationship story. / Vreeken, Jilles; Zimek, Arthur. I: CEUR Workshop Proceedings, Bind 772, 2011, s. 7-18.

Visual evaluation of outlier detection models. / Achtert, Elke; Kriegel, Hans Peter; Reichert, Lisa; Schubert, Erich; Wojdanowski, Remigius; Zimek, Arthur. Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. red. / H. Kitagawa; Y. Ishikawa; Q. Li; C. Watanabe. PART 2. udg. Springer, 2010. s. 396-399 (Lecture Notes in Computer Science, Bind 5982).

Similarity search in time series of dynamical model-based systems. / Kawagoe, Kyoji; Bernecker, Thomas; Kriegel, Hans Peter; Renz, Matthias; Zimek, Arthur; Züfle, Andreas. Proceedings of the 21st International Workshop on Database and Expert Systems Applications, DEXA 2010. IEEE, 2010. s. 110-114.

Can shared-neighbor distances defeat the curse of dimensionality? / Houle, Michael E.; Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. red. / M. Gertz; B. Ludäscher. Springer, 2010. s. 482-500 (Lecture Notes in Computer Science, Bind 6187).

Subspace similarity search : Efficient k-NN queries in arbitrary subspaces. / Bernecker, Thomas; Emrich, Tobias; Graf, Franz; Kriegel, Hans Peter; Kröger, Peer; Renz, Matthias; Schubert, Erich; Zimek, Arthur. Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Springer, 2010. s. 555-564 (Lecture Notes in Computer Science, Bind 6187).

Towards subspace clustering on dynamic data : An incremental version of PreDeCon. / Kriegel, Hans Peter; Kröger, Peer; Ntoutsi, Irene; Zimek, Arthur. Proceedings of the 1st International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD'10, Held in Conjunction with the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2010. s. 31-38.

A study of hierarchical and flat classification of proteins. / Zimek, Arthur; Buchwald, Fabian; Frank, Eibe; Kramer, Stefan. I: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bind 7, Nr. 3, 02.06.2010, s. 563-571.

Subspace similarity search using the ideas of ranking and top-k retrieval. / Bernecker, Thomas; Emrich, Tobias; Graf, Franz; Kriegel, Hans Peter; Kröger, Peer; Renz, Matthias; Schubert, Erich; Zimek, Arthur. ICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops. IEEE, 2010. s. 4-9.

Investigating a correlation between subcellular localization and fold of proteins. / Aßfalg, Johannes; Gong, Jing; Kriegel, Hans Peter; Pryakhin, Alexey; Wei, Tiandi; Zimek, Arthur. I: Journal of Universal Computer Science, Bind 16, Nr. 5, 21.05.2010, s. 604-621.

Can shared-neighbor distances defeat the curse of dimensionality? / Houle, Michael E.; Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. I: NII Technical Reports, Nr. 18, 24.12.2009, s. 1-29.

LoOP : Local outlier probabilities. / Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, 2009. s. 1649-1652.

Subspace and projected clustering : Experimental evaluation and analysis. / Moise, Gabriela; Zimek, Arthur; Kröger, Peer; Kriegel, Hans Peter; Sander, Jörg. I: Knowledge and Information Systems, Bind 21, Nr. 3, 12.2009, s. 299-326.

ELKI in time : ELKI 0.2 for the performance evaluation of distance measures for time series. / Achtert, Elke; Bernecker, Thomas; Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur. Advances in Spatial and Temporal Databases - 11th International Symposium, SSTD 2009, Proceedings. red. / N. Mamoulis; T. Seidl; T. B. Pedersen; K. Torp; I. Assent. Springer, 2009. s. 436-440 (Lecture Notes in Computer Science, Bind 5644).

Outlier detection in axis-parallel subspaces of high dimensional data. / Kriegel, Hans Peter; Kr̈oger, Peer; Schubert, Erich; Zimek, Arthur. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. red. / T. Theeramunkong; B. Kijsirikul; N. Cercone; TB. Ho. Springer, 2009. s. 831-838 (Lecture Notes in Computer Science, Bind 5476).

Correlation Clustering. / Zimek, Arthur. I: S I G K D D Explorations, Bind 11, Nr. 1, 06.2009, s. 53-54.

Supervised ensembles of prediction methods for subcellular localization. / Assfalg, Johannes; Gong, Jing; Kriegel, Hans Peter; Pryakhin, Alexey; Wei, Tiandi; Zimek, Arthur. I: Journal of Bioinformatics and Computational Biology, Bind 7, Nr. 2, 11.05.2009, s. 269-285.

Clustering high-dimensional data : A survey on subspace clustering, pattern-based clustering, and correlation clustering. / Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. I: ACM Transactions on Knowledge Discovery from Data, Bind 3, Nr. 1, 1, 03.2009.

Angle-based outlier detection in high-dimensional data. / Kriegel, Hans Peter; Schubert, Matthias; Zimek, Arthur. Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2008. s. 444-452.

Supervised ensembles of prediction methods for subcellular localization. / Aßfalg, Johannes; Gong, Jing; Kriegel, Hans Peter; Pryakhin, Alexey; Wei, Tiandi; Zimek, Arthur. Proceedings of 6th Asia-Pacific Bioinformatics Conference. 2008. s. 29-38 (Series on Advances in Bioinformatics and Computational Biology, Bind 6).

Global Correlation Clustering Based on the Hough Transform. / Achtert, Elke; Böhm, Christian; David, Jörn; Kröger, Peer; Zimek, Arthur. I: Statistical Analysis and Data Mining, Bind 1, Nr. 3, 11.2008, s. 111-127.

Robust clustering in arbitrarily oriented subspaces. / Achtert, Elke; Böhm, Christian; David, Jörn; Kröger, Peer; Zimek, Arthur. Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130. red. / Chid Apte; Haesun Park; Ke Wang; Mohammad J. Zaki. Bind 2 Society for Industrial and Applied Mathematics, 2008. s. 763-774 (S I A M Proceedings in Applied Mathematics, Bind 130).

A general framework for increasing the robustness of PCA-based correlation clustering algorithms. / Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur. Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. red. / B. Ludäscher; N. Mamoulis. Springer, 2008. s. 418-435 (Lecture Notes in Computer Science, Bind 5069).

ELKI : A software system for evaluation of subspace clustering algorithms. / Achtert, Elke; Kriegel, Hans Peter; Zimek, Arthur. Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. red. / B. Ludäscher; N. Mamoulis. Springer, 2008. s. 580-585 (Lecture Notes in Computer Science, Bind 5069).

Detecting clusters in moderate-to-high dimensional data : Subspace clustering, pattern-based clustering, and correlation clustering. / Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. I: Proceedings of the VLDB Endowment, Bind 1, Nr. 2, 08.2008, s. 1528-1529.

Correlation Clustering. / Zimek, Arthur. München : Ludwig-Maximilians-Universität München, 2008. 382 s.

Density-based data analysis and similarity search. / Brecheisen, Stefan; Kriegel, Hans Peter; Kröger, Peer; Pfeifle, Martin; Schubert, Matthias; Zimek, Arthur. Multimedia Data Mining and Knowledge Discovery. red. / V. A. Petrushin; L. Khan. Springer, 2007. s. 94-115.

Detection and visualization of subspace cluster hierarchies. / Achtert, Elke; Böhm, Christian; Kriegel, Hans Peter; Kröger, Peer; Müller-Gorman, Ina; Zimek, Arthur. Advances in Databases: Concepts, Systems and Applications: 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Proceedings. red. / R. Kotagiri; P. R. Krishna; M. Mohania; E. Nantajeewarawat. Springer, 2007. s. 152-163 (Lecture Notes in Computer Science, Bind 4443).

Robust, complete, and efficient correlation clustering. / Achtert, Elke; Böhm, Christian; Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. Proceedings of the 7th SIAM International Conference on Data Mining. red. / Chid Apte; David Skillicorn; Bing Liu; Srinivasan Parthasarathy. Society for Industrial and Applied Mathematics, 2007. s. 413-418.

Future trends in data mining. / Kriegel, Hans Peter; Borgwardt, Karsten M.; Kröger, Peer; Pryakhin, Alexey; Schubert, Matthias; Zimek, Arthur. I: Data Mining and Knowledge Discovery, Bind 15, Nr. 1, 08.2007, s. 87-97.

On exploring complex relationships of correlation clusters. / Achtert, Elke; Böhm, Christian; Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. Proceedings of the 19th International Conference on Scientific and Statistical Database Management, SSDBM 2007. IEEE, 2007.

COSMIC : Conceptually specified multi-instance clusters. / Kriegel, Hans Peter; Pryakhin, Alexey; Schubert, Matthias; Zimek, Arthur. Proceedings - Sixth International Conference on Data Mining, ICDM 2006. IEEE, 2006. s. 917-921.

Mining hierarchies of correlation clusters. / Achtert, Elke; Böhm, Christian; Kröger, Peer; Zimek, Arthur. Proceedings - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006. IEEE, 2006. s. 119-128.

Deriving quantitative models for correlation clusters. / Achtert, Elke; Böhm, Christian; Kriegel, Hans Peter; Kröger, Peer; Zimek, Arthur. KDD 2006: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2006. s. 4-13.

Finding hierarchies of subspace clusters. / Achtert, Elke; Böhm, Christian; Kriegel, Hans Peter; Kröger, Peer; Müller- Gorman, Ina; Zimek, Arthur. Knowledge Discovery in Databases: PKDD 2006 - 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings. red. / J. Fürnkranz; T. Scheffer; M. Spiliopoulou. Springer, 2006. s. 446-453 (Lecture Notes in Computer Science, Bind 4213).

Computing clusters of correlation connected objects. / Böhm, Christian; Kailing, Karin; Kröger, Peer; Zimek, Arthur. SIGMOD '04: Proceedings of the 2004 ACM SIGMOD international conference on Management of data. red. / G. Weikum; A. C. Konig; S. Dessloch. Association for Computing Machinery, 2004. s. 455-466.

A complete list of publications can be found on my personal webpage: http://www.imada.sdu.dk/~zimek/publications.html