Arthur Zimek Explained

Arthur Zimek
Nationality:	German
Fields:	outlier detection, correlation clustering
Workplaces:	University of Southern Denmark, University of Alberta, Ludwig-Maximilians-Universität München
Alma Mater:	Ludwig-Maximilians-Universität München
Doctoral Advisor:	Hans-Peter Kriegel

Arthur Zimek is a professor in data mining, data science and machine learning at the University of Southern Denmark in Odense, Denmark.

He graduated from the Ludwig Maximilian University of Munich in Munich, Germany, where he worked with Prof. Hans-Peter Kriegel.^[1] His dissertation on "Correlation Clustering" was awarded the "SIGKDD Doctoral Dissertation Award 2009 Runner-up"^[2] by the Association for Computing Machinery.

He is well known^[3] for his work on outlier detection,^{[4] [5]} density-based clustering,^[6] correlation clustering,^{[7] [8]} and the curse of dimensionality.^{[9] [10]}

He is one of the founders and core developers of the open-source ELKI data mining framework.^{[11] [12]}

External links

• University homepage
• Publications in the Digital Bibliography & Library Project
• Google Scholar profile

Notes and References

1. Web site: SIGKDD Awards : 2015 SIGKDD Innovation Award: Hans-Peter Kriegel. www.kdd.org. en-US. 2017-05-29. with his team members Peer Kroeger, Erich Schubert and Arthur Zimek.
2. Web site: SIGKDD Doctoral Dissertation Award . . 30 May 2010 . https://web.archive.org/web/20101129145757/http://sigkdd.org/awards_dissertation.php . 2010-11-29 . dead .
3. E.g. Book: Aggarwal, Charu C.. Outlier analysis. Springer. 9783319475783. 49pp. 967215852. 2016-12-10.
4. Book: Kriegel. Hans-Peter. Hans-Peter Kriegel. Schubert. Matthias. Zimek. Arthur. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining . Angle-based outlier detection in high-dimensional data . 2008. KDD '08. New York, NY, USA. ACM. 444–452. 10.1145/1401890.1401946. 9781605581934. 10.1.1.329.7579. 3072058.
5. Book: Kriegel. Hans-Peter. Hans-Peter Kriegel. Kröger. Peer. Schubert. Erich. Zimek. Arthur. Proceedings of the 18th ACM conference on Information and knowledge management . LoOP . 2009. CIKM '09. New York, NY, USA. ACM. 1649–1652. 10.1145/1645953.1646195. 9781605585123. 14401236.
6. Kriegel. Hans-Peter. Hans-Peter Kriegel. Kröger. Peer. Sander. Jörg. Zimek. Arthur. 2011-04-05. Density-based clustering. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 1. 3. 231–240. 10.1002/widm.30. 36920706. subscription.
7. Book: Böhm. Christian. Kailing. Karin. Kröger. Peer. Zimek. Arthur. Proceedings of the 2004 ACM SIGMOD international conference on Management of data . Computing Clusters of Correlation Connected objects . 2004. SIGMOD '04. New York, NY, USA. ACM. 455–466. 10.1145/1007568.1007620. 978-1581138597. 10.1.1.5.1279. 6411037.
8. Book: Proceedings of the 2008 SIAM International Conference on Data Mining. Achtert. E.. Böhm. C.. David. J.. Kröger. P.. Zimek. A.. 2008-04-24. Society for Industrial and Applied Mathematics. 9780898716542. 763–774. 10.1137/1.9781611972788.69.
9. Zimek. Arthur. Erich. Schubert. Hans-Peter. Kriegel. Hans-Peter Kriegel. 2012-08-27. A survey on unsupervised outlier detection in high-dimensional numerical data. Statistical Analysis and Data Mining. 5. 5. 5. 10.1002/sam.11161. 6724536 .
10. Book: Houle. Michael E.. Kriegel. Hans-Peter. Hans-Peter Kriegel. Kröger. Peer. Schubert. Erich. Zimek. Arthur. Scientific and Statistical Database Management . Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? . 2010-06-30. en. Springer, Berlin, Heidelberg. 6187. 482–500. 10.1007/978-3-642-13818-8_34. Lecture Notes in Computer Science. 978-3-642-13817-1. 10.1.1.378.3285.
11. Book: Achtert. Elke. Kriegel. Hans-Peter. Zimek. Arthur. Scientific and Statistical Database Management . ELKI: A Software System for Evaluation of Subspace Clustering Algorithms . 2008-07-09. 5069. en. Springer, Berlin, Heidelberg. 580–585. 10.1007/978-3-540-69497-7_41. Lecture Notes in Computer Science. 978-3-540-69476-2. 10.1.1.144.3263.
12. Web site: The ELKI Team. elki-project.github.io. 2017-05-29.