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Objectives

Techniques

Angle-based Outlier Detection (ABOD)

Local Outlier Probabilities (LoOP)

Outlier Detection in High Dimensional Data

Publications

2015
25E. Schubert, A. Zimek, H.-P. Kriegel
Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles
In Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA), Hanoi, Vietnam: 19–36, 2015.
24H. O. Marques, R. J. G. B. Campello, A. Zimek, J. Sander
On the Internal Evaluation of Unsupervised Outlier Detection
In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, CA, 2015.
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 10th SIAM International Conference on Data Mining (SDM), Columbus, OH, 2010.
7H.-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.
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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