LMU MünchenInstitut für InformatikPD Dr. Arthur ZimekLFE Datenbanksysteme
 
 
Welcome
Curriculum Vitae
Research
Publications
Offene Arbeitsthemen für Studenten
Current and Finished Projects of Students
 

Research

Research Interests

Research interests are knowledge discovery in databases, machine learning, and bioinformatics, especially structural bioinformatics and protein classification. Projects in these areas are permanently available for interested students of computer science, media informatics, and bioinformatics.

Professional Services

Invited Talks

[6]There and Back Again: Outlier Detection between Statistical Reasoning and Efficient Database Methods.
Talk in the Database Seminar Series (2012-2013) at the David R. Cheriton School of Computer Science, University of Waterloo, ON, Canada, 28.11.2012.
[ slides (pdf) ]
[5]Outlier Detection.
guest lecture in the course CMPUT 697 on Spatial Data Management and Data Mining, University of Alberta, Edmonton, AB, Canada, 28.9.+1.10.2012 .
[4]Data Mining and the "Curse of Dimensionality".
Talk at the 3rd International Workshop with Mentors on Databases, Web and Information Management for Young Researchers (iDB Workshop 2011), Kyoto, Japan, 2.8.2011.
[ slides (pdf) | iDB Workshop 2011 (webpage) ]
[3]Clustering Methods in High-Dimensional Spaces.
Talk for Roche Diagnostics GmbH, Penzberg, Germany, 22.7.2011.
[ slides (pdf) ]
[2]Clustering in Subspaces of High-Dimensional Data.
Talk at the National Institute of Informatics, Tokyo, Japan, 6.4.2010.
[ slides (pdf) ]
[1]Clustering in Subspaces of High-Dimensional Data.
Talk at RWTH Aachen, Germany, 2.3.2010.
[ slides (pdf) ]

Tutorials

[10]Arthur Zimek, Erich Schubert, Hans-Peter Kriegel:
Outlier Detection in High-Dimensional Data.
Tutorial at the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Gold Coast, Australia, 2013.
[ tutorial slides | tutorial webpage ]
[9]Arthur Zimek, Erich Schubert, Hans-Peter Kriegel:
Outlier Detection in High-Dimensional Data.
Tutorial at the 12th IEEE International Conference on Data Mining (ICDM), Brussels, Belgium, 2012.
[ tutorial slides | tutorial webpage ]
[8]Hans-Peter Kriegel, Irene Ntoutsi, Myra Spiliopoulou, Grigorios Tsoumakas, Arthur Zimek:
Mining Complex Dynamic Data.
Tutorial at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens, Greece, 2011.
[ abstract | webpage ]
[7]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Outlier Detection Techniques.
Tutorial at 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, 2010.
[ abstract | slides (pdf) ]
[6]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Outlier Detection Techniques.
Tutorial at 10th SIAM International Conference on Data Mining (SDM 2010), Columbus, OH, 2010.
[ abstract | slides (pdf) ]
[5]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Outlier Detection Techniques.
Tutorial at the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, 2009.
[ slides (pdf) ]
[4]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Detecting Clusters in Moderate-to-high Dimensional Data: Subspace Clustering, Pattern-based Clustering, Correlation Clustering.
Tutorial at the 34th International Conference on Very Large Databases (VLDB 2008), Auckland, New Zealand, 2008.
[ abstract (pdf) | EE (VLDB endowment) | slides (pdf) ]
[3]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Detecting Clusters in Moderate-to-high Dimensional Data: Subspace Clustering, Pattern-based Clustering, Correlation Clustering.
Tutorial at the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), Las Vegas, NV, 2008.
[ slides (pdf) ]
[2]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Detecting Clusters in Moderate-to-high Dimensional Data: Subspace Clustering, Pattern-based Clustering, Correlation Clustering.
Tutorial at the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Osaka, Japan, 2008.
[ abstract | slides (pdf) ]
[1]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Detecting Clusters in Moderate-to-high Dimensional Data: Subspace Clustering, Pattern-based Clustering, Correlation Clustering.
Tutorial at the 7th International Conference on Data Mining (ICDM 2007), Omaha, NE, 2007.
[ abstract | slides (pdf) ]

Reviewer for Journals

Member of Program Committees

Other Services