Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computer Science, Dr. rer. nat. habil., Ludwig-Maximilian University of Munich
1. Jul 2011 → 28. Oct 2013
Award Date: 28. Oct 2013
Computer Science, Dr. rer. nat., Ludwig-Maximilian University of Munich
1. May 2005 → 30. Jun 2008
Award Date: 30. Jun 2008
Bioinformatics, Diploma, Ludwig-Maximilian University of Munich
1. Oct 2000 → 30. Apr 2005
Philosophy, Magister Artium, Hochschule für Philosophie München
1. Oct 1997 → 30. Sep 2000
Theology, Diploma, Johannes Gutenberg University
1. Oct 1992 → 31. Oct 1997
External positions
Guest professor, Vienna University of Technology
1. May 2016 → 30. Jun 2016
Guest professor, Vienna University of Technology
1. Apr 2014 → 30. Jun 2014
Postdoctoral Fellow, University of Alberta
1. Apr 2012 → 31. Mar 2013
Research Associate, Ludwig-Maximilian University of Munich
1. Oct 2008 → 31. Jul 2016
Research and Teaching Assistant, Ludwig-Maximilian University of Munich
1. May 2005 → 30. Sep 2008
Research areas
- Algorithms for Large Datasets
- Data Mining
- Data Science
- Machine Learning
- Machine Learning
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Research output
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Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities
McCarthy, C., Tampakis, P., Chiarandini, M., Randers, M. B., Jänicke, S. & Zimek, A., 25. Feb 2023, Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Springer Science+Business Media, p. 27-40 (Communications in Computer and Information Science, Vol. 1783 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Analyzing passing sequences for the prediction of goal-scoring opportunities
McCarthy, C., Tampakis, P., Chiarandini, M., Randers, M. B., Jänicke, S. & Zimek, A., 19. Sep 2022.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
Open Access -
A simple meta-path-free framework for heterogeneous network embedding
Zhang, R., Zimek, A. & Schneider-Kamp, P., 17. Oct 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery / Special Interest Group on Programming Languages, p. 2600-2609 (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Evaluation of probability distribution distance metrics in traffic flow outlier detection
Andersen, E., Chiarandini, M., Hassani, M., Janicke, S., Tampakis, P. & Zimek, A., 2022, Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022. IEEE, p. 64-69 (Proceedings - IEEE International Conference on Mobile Data Management, Vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Similarity-Based Unsupervised Evaluation of Outlier Detection
Marques, H. O., Zimek, A., Campello, R. J. G. B. & Sander, J., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (eds.). Springer Science+Business Media, p. 234-248 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13590 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Activities
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Basic Data Mining Approaches to Anomaly Detection and Challenges in High-dimensional Data
Arthur Zimek (Speaker)
8. Jul 2021Activity: Talks and presentations › Conference presentations
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Dimensionality and Scalability Issues in Outlier Detection
Arthur Zimek (Speaker)
9. Mar 2021Activity: Talks and presentations › Conference presentations
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ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Event)
Arthur Zimek (Peer reviewer)
Feb 2021 → May 2021Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Machine Learning (Journal)
Arthur Zimek (Member of editorial review board)
2021 → …Activity: Editorial work and peer review › Editor of research journal › Research
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International Conference on Similarity Search and Applications
Arthur Zimek (Participant)
30. Sep 2020 → 2. Oct 2020Activity: Attending an event › Conference organisation or participation
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EU - STrukturfonden - Indsigts- og Prognoseværktøj - DigitaliseringsBoost
01/06/2019 → 31/05/2020
Project: Research
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Digital Data Processing LEGO
Knudsen, G. H., Grønning, A. & Zimek, A.
01/09/2017 → 31/12/2018
Project: Research
Press/Media
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Han læste til præst men blev professor i datalogi: - Skæld ikke de unge ud, hvis de vælger forkert
11/07/2021
1 Media contribution
Press/Media: Press / Media
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Professor med fire uddannelser: Skæld ikke de unge ud
11/07/2021
1 Media contribution
Press/Media: Press / Media
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Han læste til præst men blev professor i datalogi: - Skæld ikke de unge ud, hvis de vælger forkert
11/07/2021
1 Media contribution
Press/Media: Press / Media
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Professor med fire uddannelser: Skæld ikke de unge ud
11/07/2021
1 Media contribution
Press/Media: Press / Media
Prizes
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21st Annual Best of Computing: Notable Article
Campos, Guilherme O. (Recipient), Zimek, Arthur (Recipient), Sander, Jörg (Recipient), Campello, Ricardo Jose Gabrielli Barreto (Recipient), Micenkova, Barbora (Recipient), Schubert, Erich (Recipient), Assent, Ira (Recipient) & Houle, Michael E. (Recipient), 2017
Prize: Prizes, scholarships, distinctions
File
Teaching & Supervision
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Data Mining for Translational Medicine / Applied Machine Learning
Arthur Zimek 01/02/2017 → 31/05/2018
Course: Teaching
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Impacts
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Hjemmetest kan markant nedsætte risiko for hjerte-kar-sygdom
Peter Schneider-Kamp (Participant) & Arthur Zimek (Participant)
Impact: Quality of life