Prof. Dr. Stefan Wrobel

Since September 2015
Vice-Chairman of the Fraunhofer-Area Information and Communication Technology

Since Februar 2014
Speaker of the Fraunhofer-Allianz Big Data

Since 2013
Scientific Director at b-it Bonn-Aachen International Center for Information Technology

Since September 2007
Managing Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and Chair of Intelligent Analysis and Information Systems at University of Bonn, Institute of Computer Science.

July 2006 - September 2007
Institute Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS

2002 - June 2006
Institute Director of the Fraunhofer Institute for Autonomous Intelligent Systems AIS

Since April 2002
Professor of Computer Science at University of Bonn

1998 - 2002 
Professor of Practical Computer Science at Otto-von-Guericke-University Magdeburg, leading the group on Knowledge Discovery and Machine Learning

1996 
Co-founder and Technical Director of Dialogis Software and Services GmbH

1993
PhD at University of Dortmund, topic: concept formation and theory revision

1989 
Researcher position at GMD in Sankt Augustin, later project and group leader Machine Learning

1986 - 1989
Researcher position at Technical University of Berlin

1983 - 1986 
Research Assistant, Georgia Institute of Technology, Atlanta, GA, USA, Master MS Degree in Computer Science

1981 - 1983
studied Computer Science in Bonn

Pascal Welke, Tamas Horvath, Stefan Wrobel:
Probabilistic Frequent Subtrees for Efficient Graph Classification and Retrieval.
Machine Learning Journal, DOI 10.1007/s10994-017-5688-7, 2017.

Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel:
Co-Regularised Support Vector Regression.
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer Verlag, 2017.

Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel:
Using Echo State Networks for Cryptography.
Proc. 26th International Conference on Artificial Neural Networks, pp. 663-671. Lecture Notes in Computer Science, Springer Verlag, 2017.

Pascal Welke, Tamas Horvath, Stefan Wrobel:
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces.
Discovery Science 2016: 67-82

Pascal Welke, Tamas Horvath, Stefan Wrobel:
Probabilistic Frequent Subtree Kernels. In M. Ceci et.al. (eds.), Post-Proceedings of the International Workshop on New Frontiers in Mining Complex Patterns, Lecture Notes in Artificial Intelligence, Springer Verlag, 2016, pp. 179-193.

Stefan Wrobel, Hans Voss, Joachim Koehler, Uwe Beyer, Soeren Auer:
Big Data, Big Opportunities – Anwendungssituation und Forschungsbedarf des Themas Big Data in Deutschland. In Informatik Spektrum, Vol. 38, Issue 5, October 2015, pp. 370-378.

Pascal Welke, Tamas Horvath, Stefan Wrobel,
On the Complexity of Frequent Subtree Mining in Very Simple Structures.
Int Conf on Inductive Logic Programming ILP 2014:194-209

Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, Stefan Wrobel:
Visual Analytics of Movement, Springer, 2013, XVIII, 387 p.

Gennady Andrienko, Natalia Andrienko,Christophe Hurter, Salvatore Rinzivillo, and Stefan Wrobel:
Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. In Journal of IEEE Transactions on Visualization and Computer Graphics, Vol. 19, Issue 7, July 2013, pp. 1078-1094.

Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel:
Pedestrian Quantity Estimation with Trajectory Patterns. In Proceedings of ECML 2012: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Part II, LNCS 7524, pp. 629-643, 2012.

Gennady Andrienko, Natalia Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel:
From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data. In Proceedings of VAST 2011: The IEEE Conference on Visual Analytics Science and Technology. VAST best paper award.

Gennady Andrienko, Natalia Andrienko, Daniel Keim, Alan M. MacEachren, Stefan Wrobel:
Editorial: Challenging Problems of Geospatial Visual Analytics. In Journal of Visual Languages and Computing, Part Special Issue: Challenging Problems in Geovisual Analytics, Vol. 22, No. 4, August 2011, pp. 251 -- 256.

Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, Slava Kisilevich, Stefan Wrobel:
A conceptual framework and taxonomy of techniques for analyzing movement. In Journal of Visual Languages and Computing, Volume 22, (2011), pp. 213 -- 232.

Tamas Horvath, Jan Ramon, Stefan Wrobel:
Frequent subgraph mining in outerplanar graphs. In Journal of Data Mining and Knowledge Discovery, Volume 21, Number 3, pp 472 - 508, 2010.

Anna Monreale, Gennady Andrienko, Natalia Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel:
Movement Data Anonymity through Generalization. In Journal Transactions on Data Privacy, Volume 3, Issue 2, pp. 91-121, 2010.

Tamas Horvath, Stefan Wrobel:
Learning from Structured Data. In C. Sammut, Geoffrey I. Webb, editor(s), Encyclopedia of Machine Learning, Volume 26, page 580 - 584, Springer-Verlag, Heidelberg, 2010.

Tamas Horvath, Thomas Gärtner, Stefan Wrobel:
Graph Kernels. In C. Sammut, Geoffrey I. Webb, editor(s), Encyclopedia of Machine Learning, Volume 26, page 467 - 469, Springer-Verlag, Heidelberg, 2010.

Mario Boley, Tamas Horvath, Axel Poigne, Stefan Wrobel:
Listing Closed Sets of Strongly Accessible Set Systems with Applications to Data Mining. In Giorgio Ausiello (Editor-in-Chief), Journal of Theoretical Computer Science, Volume 411 (January), pp 691 – 700, 2010, Elsevier B.V., ISSN: 0304-3975.

Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel:
Spatial Data Mining in Practice: Principles and Case Studies. In Frontiers in Artificial Intelligence and Applications - Data Mining for Business Applications, Volume 218, 2010 , pp. 164--178./p>

Christine Koerner, Dirk Hecker, Michael May, Stefan Wrobel:
Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. In Proceedings of the 13th AGILE International Conference on Geographic Information Science (AGILE 2010), Lecture Notes in Geoinformation and Cartography, pp. 79 -- 95. Springer, Berlin Heidelberg, 2010.

Sebastian Bothe, Thomas Gaertner, Stefan Wrobel:
On-line Handwriting Recognition with Parallelized Machine Learning Algorithms. In Proceedings of the 33rd Annual German Conference on Artificial Intelligence (KI 2010), Lecture Notes in Computer Science, Volume 6359/2010, pp. 82-90, Springer, Berlin Heidelberg, 2010.

Tamas Horvath, Gerhard Paass, Frank Reichartz, Stefan Wrobel:
A Logic-Based Approach to Relation Extraction from Texts. In Proceedings of the 19th International Conference on Inductive Logic Programming (ILP 2009), Lecture Notes in Computer Science, 2010, Volume 5989/2010, Springer-Verlag Berlin Heidelberg, pp. 34-48.

Mario Boley, Tamas Horvath, Stefan Wrobel:
Efficient Discovery of Interesting Patterns Based on Strong Closedness. In Journal of Statistical Analysis and Data Mining, Volume 2 (December), Issue 5-6, pp 346 – 360, 2009, Wiley Periodicals, Inc., ISSN: 1932-1864.

Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel:
Toolkit-based high-performance Data Mining of large Data on MapReduce Clusters. In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM’09), pp. 296-301, ISBN: 978-0-7695-3902-7.

Mario Boley, Tamas Horvath, Axel Poigne, and Stefan Wrobel:
New Results on Listing Closed Sets of Strongly Accessible Set Systems. In 7th International Workshop on Mining and Learning with Graphs, 2009, online publication.

Hongqi Wang, Olana Missura, Thomas Gaertner, Stefan Wrobel:
Context-Based Clustering of Image Search Results. In Baerbel Mertsching, Marcus Hund, and Zaheer Aziz, editors, LNAI 5803, KI 2009: Advances in Artificial Intelligence, 32nd Annual German Conference on AI, Paderborn, September 15 - 18, 2009, pp. 153-160, , ISBN 978-3-64204-616-2, Springer Berlin/Heidelberg.

Shivani Seth, Stefan Rueping, Stefan Wrobel:
Metadata Extraction using Text Mining. In Proceedings of the HealthGrid Conference 2009, Berlin, 28 June - 1 July 2009, Studies in health technology and informatics, Vol. 147 (2009), pp. 95-104, ISBN 978-1-60750-027-8, Amsterdam IOS Press, 2009

Mario Boley, Tamas Horvath, Stefan Wrobel:
Efficient Discovery of Interesting Patterns Based on Strong Closedness. In Haesun Park, Srinivasan Parthasarathy, Huan Liu, and Zoran Obradovic, editors, Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, pp. 1002-1013, 2009, SIAM Press, ISBN: 978-0-898716-82-5

Gerhard Paass, Stefan Eickeler, and Stefan Wrobel:
Text Mining and Multimedia Search in a Large Content Repository. In Gerhard Heyer, editor, Proceedings of the conference on Text Mining Services 2009 (TMS09), Leipziger Beitraege zur Informatik, Band XIV, pp 15-22, ISBN 978-3-94-1608-01-6, self-published by the University of Leipzig and Leipziger Informatik-Verbund (LIV)

Henrik Grosskreutz, Stefan Rueping, Stefan Wrobel:
Tight Optimistic Estimates for Fast Subgroup Discovery. In Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2008), Lecture Notes in Computer Science, Volume 5211/2008, pp. 440-456, ISBN 978-3-540-87478-2, ISSN 0302-9743 (Print) 1611-3349 (Online) Springer Berlin/Heidelberg

Gerhard Paass, Wolf Reinhardt, Stefan Rueping und Stefan Wrobel:
Data mining for security and crime detection. In Proceedings of the NATO Advanced Research Workshop on Security Informatics and Terrorism - Patrolling the Web, Beer-Sheva, Israel, 4-5 June 2007 Amsterdam: IOS Press, pp. 56-70, 2008. ISBN: 978-1-58603-848-9, ISBN: 1-58603-848-6

Gennady Andrienko, Natalia Andrienko, Ioannis Kopanakis, Arend Ligtenberg, and Stefan Wrobel:
Visual Analytics Methods for Movement Data. In Fosca Gianotti and Dino Pedreschi, editors, Mobility, Data Mining, and Privacy: Geographic Knowledge Discovery, Springer Verlag, 2008, pp 375–408

H. Geppert, T. Horvath, T. Gaertner, S. Wrobel, and J. Bajorath:
Support Vector Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds. In William L. Jorgensen (Editor-In-Chief), A.J. Hopfinger,Dusanka Janezic, and Wendy A. Warr (Associate Editors), Stephen R. Heller (Software Review Editor), C. Gregory Paris (Books Editor) Journal of Chemical Information and Modeling Volume 48, Issue 4, 2008, pp 742–746

G. Andrienko, N. Andrienko, and S. Wrobel:
Visual Analytics Tools for Analysis of Movement Data. In Ramakrishnan Srikant (Editor-In-Chief), Bing Liu, and Osmar R. Zaiane (Associate Editors), Daniel Keim, and Joern Schneidewind (Guest Editors) SIGKDD Exploration Volume 9, Issue 2, December 2007, pp 38–46, 2007

G. Andrienko, N. Andrienko, P. Jankowski, D. Keim, M.-J. Kraak, A. MacEachren, and S. Wrobel:
Geovisual analytics for spatial decision support: Setting the research agenda. In P. Fischer, M. Cahegan, and B. Lees (eds) International Journal of Geographical Information Science Volume 21, No. 8, September 2007, pp 839–857

Mario Boley, Tamás Horváth, Axel Poigne, Stefan Wrobel:
Efficient Closed Pattern Mining in Strongly Accessible Set Systems. In Proc. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), Lecture Notes in Artificial Intelligence, Volume 4702, Springer-Verlag, Heidelberg, 2007, pp 382-389

Shankar Vembu, Thomas Gärtner, and Stefan Wrobel:
Semidefinite Ranking on Graphs. In Abstracts of the 6th Slovenian International Conference on Graph Theory Bled’07, PASCAL Workshop on Graph Theory and Machine Learning, published by DMFA Ljubljana, 2007, pp 125-126

Stefan Wrobel:
Die intelligente Mobilität der Zukunft. In Fraunhofer-Gesellschaft, Munich (Ed.): InnoVisions, Das Zukunftsmagazin des Fraunhofer-IuK-Verbunds, 2/2007, p. 3Stefan Wrobel: Intelligenz ist Lernen - 50 Jahre Künstliche Intelligenz und Maschinelles Lernen. In "Künstliche Intelligenz" Nr. 4/06, pp. 40-42, 2006

Tamás Hováth, Tatsuya Akutsu, and Stefan Wrobel:
A Refinement Operator for Outerplanar Graphs. In S. Muggleton and R. Otero, editors, Proc. 16th International Conference on Inductive Logic Programming (Short Papers) (ILP 2006), Santiago de Compostela, Spain, August 2006, Press: University of Corunna, pp. 95-97

Christine Koerner and Stefan Wrobel:
Multi-class Ensemble-based Active Learning. In Proc. 17th European Conference on Machine Learning/10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD06), Lecture Notes in Computer Science, Springer Verlag, Berlin, Heidelberg, 2006, Volume 4212, pp. 687-694

Tamás Horváth, Jan Ramon, Stefan Wrobel:
Frequent Subgraph Mining in Outerplanar Graphs. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Press, New York, NY, 2006, pp. 197-206

Ulf Brefeld, Thomas Gaertner, Tobias Scheffer, Stefan Wrobel:
Efficient Co-Regularised Least Squares Regression. In Proceedings of the 23rd International Conference on Machine Learning (ICML-06), William W. Cohen and Andrew Moore (Ed.), Omnipress/ACM, 2006, 137-144

Christine Koerner and Stefan Wrobel:
Bias-Free Hypothesis Evaluation in Multirelational Domains. In Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Converence, PAKDD 2006 / Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li, Kuiyu Chang (Ed.), Lecture Notes in Computer Science, 2006, pp. 668-672

T. Gaertner, T. Horváth, Q. Le, A. Smola, and Stefan Wrobel:
Kernel Methods for Graphs. In Mining Graph Data / L. B. Holder and D. J. Cook (Ed.), John Wiley & Sons, Inc., New York, 2006, pp. 253-282

Christine Koerner, and Stefan Wrobel:
Bias-Free Hypothesis Evaluation in Multirelational Domains - Extended Abstract. In Proceedings of the 2006 ACM Symposium on Applied Computing (SAC) / Lorie M. Liebrock (Ed.), 639-640, ACM, USA, 2006

T. Horváth, S. Hoche, and Stefan Wrobel:
Effective Rule Induction from Labeled Graphs. In Proceedings of the 21st Annual ACM Symposium on Applied Computing, 2006, pp. 611-616

Luc de Raedt, and Stefan Wrobel (Editors):
ICML-2005. Proceedings of the 22nd International Conference on Machine Learning. Omnipress/ACM, USA, 2005

Stefan Wrobel, T. Gaertner, and T. Horváth:
Kernels for Predictive Graph Mining. In Proceedings of the 29th Annual Conference of the German Classification Society (GfKl 2005), Springer, Berlin, pp. 75-86

Lourdes Peña Castillo, Stefan Wrobel:
A Comparative Study on Methods for Reducing Myopia of Hill-Climbing Search in Multirelational Learning. In: Proc. 21st International Conference on Machine Learning – ICML 2004, pp. 145-152

Thomas Gärtner, Peter A. Flach, Stefan Wrobel:
On Graph Kernels: Hardness Results and Efficient Alternatives. In: Learning Theory and Kernel machines, Lecture notes in computer science, 2003

Susanne Hoche, Stefan Wrobel:
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. In: Inductive Logic Programming / Horváth, Tamás (Ed.), Lecture notes in computer science, 2003, 180-196

Tobias Scheffer, Stefan Wrobel:
Finding the Most Interesting Patterns in a Database quickly by Using Sequential Sampling. Journal of Machine Learning Research, Vol 3 (Dec): 833-862, 2002

Stefan Wrobel:
Lern- und Entdeckungsverfahren. In: Spektrum der Wissenschaft, Heft: 11/2002

Mark-A. Krogel; Stefan Wrobel:
Feature Selection for Propositionalization. In: Discovery science, Lecture notes in computer science, 2002, 430-434

Tamás Horváth, Stefan Wrobel, Uta Bohnebeck:
Relational instance-based learning with lists and terms, Machine Learning, 43 (1/2), S. 53-80, 2001

Stefan Wrobel:
Inductive Logic Programming for Knowledge Discovery in Databases. In: Saszo Dzeroski and Nada Lavrac (Hrsg.), Relational Data Mining, S. 74-101, Springer Verlag, Berlin, New York, 2001

Mathias Kirsten, Stefan Wrobel, Tamás Horváth:
Distance-based Approaches to Relational Learning and Clustering. In: Saszo Dzeroski and Nada Lavrac (Hrsg.), Relational Data Mining, S. 213-232, Springer Verlag, Berlin, New York, 2001

Stefan Wrobel, Katharina Morik, Thorsten Joachims:
Maschinelles Lernen und Data Mining. In: G. Görz, C. Rollinger und J. Schneeberger (Hrsg.), „Handbuch der Künstlichen Intelligenz“, S. 517-597, Oldenbourg-Verlag, 2000