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Objectives

Techniques

Angle-based Outlier Detection (ABOD)

Local Outlier Probabilities (LoOP)

Outlier Detection in High Dimensional Data

Publications

2014
23E. Schubert, A. Zimek, H.-P. Kriegel
Local Outlier Detection Reconsidered: a Generalized View on Locality with Applications to Spatial, Video, and Network Outlier Detection
Data Mining and Knowledge Discovery, 28(1): 190–237, 2014.
22E. Schubert, A. Zimek, H.-P. Kriegel
Generalized Outlier Detection with Flexible Kernel Density Estimates
In Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA: 542–550, 2014.
21A. Zimek, R. J. G. B. Campello, J. Sander
Data Perturbation for Outlier Detection Ensembles
In Proceedings of the 26th International Conference on Scientific and Statistical Database Management (SSDBM), Aalborg, Denmark: 13:1–12, 2014.
20X. H. Dang, I. Assent, R. T. Ng, A. Zimek, E. Schubert
Discriminative Features for Identifying and Interpreting Outliers
In Proceedings of the 30th International Conference on Data Engineering (ICDE), Chicago, IL: 88–99, 2014.
2013
19A. Zimek, R. J. G. B. Campello, J. Sander
Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions
ACM SIGKDD Explorations, 15(1): 11–22, 2013.
18A. Zimek, M. Gaudet, R. J. G. B. Campello, J. Sander
Subsampling for Efficient and Effective Unsupervised Outlier Detection Ensembles
In Proceedings of the 19th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, IL: 428–436, 2013.
17A. Zimek, E. Schubert, H.-P. 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.
16E. Schubert
Generalized and Efficient Outlier Detection for Spatial, Temporal, and High-Dimensional Data Mining
PhD Thesis, Ludwig-Maximilians-Universität München, Munich, Germany, 2013.
2012
15A. Zimek, E. Schubert, H.-P. Kriegel
A Survey on Unsupervised Outlier Detection in High-Dimensional Numerical Data
Statistical Analysis and Data Mining, 5(5): 363–387, 2012.
14H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
Outlier Detection in Arbitrarily Oriented Subspaces
In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), Brussels, Belgium: 379–388, 2012.
13E. Schubert, R. Wojdanowski, A. Zimek, H.-P. Kriegel
On Evaluation of Outlier Rankings and Outlier Scores
In Proceedings of the 12th SIAM International Conference on Data Mining (SDM), Anaheim, CA: 1047–1058, 2012.
12A. Zimek, E. Schubert, H.-P. Kriegel
Outlier Detection in High-Dimensional Data
Tutorial at the 12th International Conference on Data Mining (ICDM), Brussels, Belgium, 2012.
2011
11H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
Interpreting and Unifying Outlier Scores
In Proceedings of the 11th SIAM International Conference on Data Mining (SDM), Mesa, AZ: 13–24, 2011.
10E. Achtert, A. Hettab, H.-P. Kriegel, E. Schubert, A. Zimek
Spatial Outlier Detection: Data, Algorithms, Visualizations
In Proceedings of the 12th International Symposium on Spatial and Temporal Databases (SSTD), Minneapolis, MN: 512–516, 2011.
2010
9E. Achtert, H.-P. Kriegel, L. Reichert, E. Schubert, R. Wojdanowski, A. Zimek
Visual Evaluation of Outlier Detection Models
In Proceedings of the 15th International Conference on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan: 396–399, 2010.
8H.-P. Kriegel, P. Kröger, A. Zimek
Outlier Detection Techniques
Tutorial at the 16th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Washington, DC, 2010.
7H.-P. Kriegel, P. Kröger, A. Zimek
Outlier Detection Techniques
Tutorial at the 10th SIAM International Conference on Data Mining (SDM), Columbus, OH, 2010.
2009
6H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
In Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand: 831–838, 2009.
5H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
LoOP: Local Outlier Probabilities
In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China: 1649–1652, 2009.
4H.-P. Kriegel, P. Kröger, A. Zimek
Outlier Detection Techniques
Tutorial at the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, 2009.
2008
3H.-P. Kriegel, M. Schubert, A. Zimek
Angle-Based Outlier Detection in High-dimensional Data
In Proceedings of the 14th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Las Vegas, NV: 444–452, 2008.
2000
2M. M. Breunig, H.-P. Kriegel, R.T. Ng, J. Sander
LOF: Identifying Density-based Local Outliers
In Proceedings of the ACM International Conference on Management of Data (SIGMOD), Dallas, TX: 93–104, 2000.
1999
1M. M. Breunig, H.-P. Kriegel, R. Ng, J. Sander
OPTICS-OF: Identifying Local Outliers
In Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery (PKDD), Prague, Czech Republic: 262–270, 1999.

Team

Scientific Head: Prof. Dr. Hans-Peter Kriegel
Project Leaders:
Current Members:
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