Navigation: Team / Dr. Erich Schubert
Friday, 2017-05-26

Dr. Erich Schubert

  • Phone: +49 (0) 6221 / 54 - 14353
  • Fax: +49 (0) 6221 / 54 - 14351
  • Office: INF 205, room 1/312 (first floor)
  • Email: schubert(at)informatik.uni-heidelberg(dot)de
  • Office hours during semester: Wednesday, 1-2 pm, or by appointment

 


News

2016-09-01: I joined the database system research group.

 


About

I did my PhD in the database systems group at the Ludwig-Maximilians-Universität München before I joined the Database Systems Research group of Prof. Dr. Michael Gertz as a Post-Doc. My thesis was on generalizing outlier detection, and I did some research on change detection on large-scale textual data streams.

I am a lead author of the ELKI data mining toolkit.


Research Interests

  • Data Mining / Text Mining
  • Event Detection and Analysis
  • Clustering and Outlier Detection
  • Information Retrieval / Information Extraction
  • Network Analysis & Graph Algorithms
  • Machine Learning

 


Google Scholar profileDBLP entry

2017
41 G. Casanova, E. Englmeier, M. E. Houle, P. Kröger, M. Nett, E. Schubert, A. Zimek
Dimensional Testing for Reverse k-Nearest Neighbor Search
accepted for publication in PVLDB, 2017.
2016
40 H.-P. Kriegel, E. Schubert, A. Zimek
The (Black) Art of Runtime Evaluation: Are We Comparing Algorithms or Implementations?
Knowledge and Information Systems (KAIS), online first, 2016.
39 L. Amsaleg, M. E. Houle, E. Schubert (eds.)
Similarity Search and Applications: 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings
Lecture Notes in Computer Science, Vol. 9939, 2016.
38 G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, I. Assent, M. E. Houle
On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study
Data Mining and Knowledge Discovery, 30: 891–927, 2016.
37 E. Schubert, M. Weiler, H.-P. Kriegel
SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams
In Proceedings of the 28th International Conference on Scientific and Statistical Database Management (SSDBM), Budapest, Hungary, 2016.
36 G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, I. Assent, M. E. Houle
On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued
In Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany: 234, 2016.
35 E. Schubert, M. Weiler, H.-P. Kriegel
Scalable Detection of Emerging Topics and Geo-spatial Events in Large Textual Streams
In Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, 2016.
2015
34 E. Schubert, A. Koos, T. Emrich, A. Züfle, K. A. Schmid, A. Zimek
A Framework for Clustering Uncertain Data
Proceedings of the VLDB Endowment, 8(12): 1976–1979, 2015.
33 E. Schubert, M. Weiler, A. Zimek
Outlier Detection and Trend Detection: Two Sides of the Same Coin
In 1st International Workshop on Event Analytics using Social Media Data at the 15th IEEE International Conference on Data Mining (ICDM), Atlantic City, NJ, 2015.
32 E. 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.
31 E. Schubert, OpenStreetMap Contributors
Fast Reverse Geocoder using OpenStreetMap data
Open Data LMU, 2015.
2014
30 E. 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.
29 E. 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.
28 E. Schubert, M. Weiler, H.-P. Kriegel
SigniTrend: Scalable Detection of Emerging Topics in Textual Streams by Hashed Significance Thresholds
In Proceedings of the 20th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), New York, NY: 871–880, 2014.
27 X. 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
26 E. Schubert, A. Zimek, H.-P. Kriegel
Geodetic Distance Queries on R-Trees for Indexing Geographic Data
In Proceedings of the 13th International Symposium on Spatial and Temporal Databases (SSTD), Munich, Germany: 146–164, 2013.
25 E. Achtert, H.-P. Kriegel, E. Schubert, A. Zimek
Interactive Data Mining with 3D-Parallel-Coordinate-Trees
In Proceedings of the ACM International Conference on Management of Data (SIGMOD), New York City, NY: 1009–1012, 2013.
24 A. 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.
23 E. Schubert
Generalized and Efficient Outlier Detection for Spatial, Temporal, and High-Dimensional Data Mining
PhD Thesis, Ludwig-Maximilians-Universität München, Munich, Germany, 2013.
2012
22 A. 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.
21 H.-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.
20 E. 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.
19 E. Achtert, S. Goldhofer, H.-P. Kriegel, E. Schubert, A. Zimek
Evaluation of Clusterings – Metrics and Visual Support
In Proceedings of the 28th International Conference on Data Engineering (ICDE), Washington, DC: 1285–1288, 2012.
18 A. 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
17 H.-P. Kriegel, E. Schubert, A. Zimek
Evaluation of Multiple Clustering Solutions
In 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with ECML PKDD 2011, Athens, Greece: 55–66, 2011.
16 H.-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.
15 T. Bernecker, M. E. Houle, H.-P. Kriegel, P. Kröger, M. Renz, E. Schubert, A. Zimek
Quality of Similarity Rankings in Time Series
In Proceedings of the 12th International Symposium on Spatial and Temporal Databases (SSTD), Minneapolis, MN: 422–440, 2011.
14 E. 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
13 E. 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.
12 M. E. Houle, H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?
In Proceedings of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany: 482–500, 2010.
11 T. Bernecker, T. Emrich, F. Graf, H.-P. Kriegel, P. Kröger, M. Renz, E. Schubert, A. Zimek
Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces
In Proceedings of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany: 555–564, 2010.
10 T. Bernecker, T. Emrich, F. Graf, H.-P. Kriegel, P. Kröger, M. Renz, E. Schubert, A. Zimek
Subspace Similarity Search Using the Ideas of Ranking and Top-k Retrieval
In Proceedings of the 26th International Conference on Data Engineering (ICDE) Workshop on Ranking in Databases (DBRank), Long Beach, CA: 4–9, 2010.
9 I. Färber, S. Günnemann, H.-P. Kriegel, P. Kröger, E. Müller, E. Schubert, T. Seidl, A. Zimek
On Using Class-Labels in Evaluation of Clusterings
In MultiClust: 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with KDD 2010, Washington, DC, 2010.
2009
8 E. Achtert, T. Bernecker, H.-P. Kriegel, E. Schubert, A. Zimek
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series
In Proceedings of the 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark: 436–440, 2009.
7 H.-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.
6 H.-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.
2008
5 H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek
A General Framework for Increasing the Robustness of PCA-based Correlation Clustering Algorithms
In Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM), Hong Kong, China: 418–435, 2008.
4 E. Schubert
Statistical Approaches for Robustifying Correlation Clustering Algorithms
Ludwig-Maximilians-Universität München, Munich, Germany, 2008.
2005
3 P. F. Riley, E. Schubert
mReplay: Mobile Sports Replay and Fan Democracy
In Axmedis 2005: Proceedings of the 1st International conference on Automated production of Cross Media content for Multi-channel distribution, 2005.
2 E. Schubert, S. Schaffert, F. Bry
Structure-Preserving Difference Search for XML Documents
In Proceedings of the Extreme Markup Languages 2005 Conference, Montreal, Quebec, Canada, 2005.
1 E. Schubert
Structure Preserving Difference Search in Semistructured Data
Ludwig-Maximilians-Universität München, Munich, Germany, 2005.
 

Letzte Änderung: 30.01.2017