Publications (before 2004)

Publications from 2004 onwards can be found here.

Edited Books

Johannes Fürnkranz and Miroslav Kubat (eds.): Machines That Learn to Play Games.
Nova Science Publishers, Huntington, NY, 2001.
[Review]

Special Issues Edited

Johannes Fürnkranz and Bernhard Pfahringer (eds.): Special Issue on First-Order Knowledge Discovery in Databases.
Applied Artificial Intelligence 12(5):345-361, July 1998.

Journal Articles

Johannes Fürnkranz: Round Robin Ensembles.
Intelligent Data Analysis 7(5):385--404, 2003.
[Abstract] [Draft]
Johannes Fürnkranz: Hyperlink Ensembles: A Case Study in Hypertext Classification.
Information Fusion 3(4):299-312, December 2002. Special Issue on Fusion of Multiple Classifiers.
[Abstract] [Draft]
Johannes Fürnkranz, Christian Holzbaur, and Robert Temel: User Profiling for the Melvil Knowledge Retrieval System.
Applied Artificial Intelligence 16(4):243-281, April 2002.
[Abstract] [Draft]
Johannes Fürnkranz: Round Robin Classification.
Journal of Machine Learning Research 2:721-747, March 2002.
[Abstract] [Draft]
Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, and Gerhard Widmer: Searching for Patterns in Political Event Sequences: Experiments with the KEDS Database.
Cybernetics and Systems, 31(6):649-668, 2000.
[Abstract] [Draft]
Johannes Fürnkranz: Separate-and-Conquer Rule Learning.
Artificial Intelligence Review 13(1):3-54, 1999.
[Abstract] [Draft]
Johannes Fürnkranz: Integrative Windowing.
Journal of Artificial Intelligence Research, 8:129-164, 1998.
[Abstract]
Franz-Günter Winkler and Johannes Fürnkranz: A Hypothesis on the Divergence of AI Research.
International Computer Chess Association Journal 21(1):3-13, March 1998.
[Preliminary Version]
Johannes Fürnkranz and Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases.
Applied Artificial Intelligence 12(5):345-361, 1998.
Johannes Fürnkranz: Pruning Algorithms for Rule Learning.
Machine Learning 27(2):139-171, May 1997.
[Abstract] [Draft]
Johannes Fürnkranz, Johann Petrak, and Robert Trappl: Knowledge Discovery in International Conflict Databases.
Applied Artificial Intelligence 11(2):91-118, March 1997.
[Abstract] [Draft]
Johannes Fürnkranz: Machine Learning in Computer Chess: The Next Generation.
International Computer Chess Association Journal 19(3):147-161, September 1996.
[Abstract] [Draft]

Theses

Johannes Fürnkranz: Inductive Rule Learning for Data and Web Mining.
Habilitation thesis, Vienna University of Technology, 2001.
[Extended Abstract]
Johannes Fürnkranz: Efficient Pruning Methods for Relational Learning.
PhD thesis, Vienna University of Technology, 1994.
[Extended Abstract]
Johannes Fürnkranz: Induktives Lernen durch Generieren von Decision Trees.
Master's thesis, Vienna University of Technology, 1991. In German.

Papers in Refereed Conference Proceedings

Johannes Fürnkranz and Eyke Hüllermeier: Pairwise Preference Learning and Ranking
In Proceedings of the 14th European Conference on Machine Learning (ECML-03), Cavtat, Croatia, 2003. Springer-Verlag.
[Abstract] [Draft]
Peter Savicky and Johannes Fürnkranz: Combining Pairwise Classifiers with Stacking
In Proceedings of the 5th International Symposium on Intelligent Data Analysis (IDA-03), Berlin, Germany, 2003.
Johannes Fürnkranz and Peter Flach: An Analysis of Rule Evaluation Metrics.
In Proceedings of the 20th International Conference on Machine Learning (ICML-03), Washington, 2003. Morgan Kaufmann.
[Abstract] [Extended Draft]
Johannes Fürnkranz: A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning
In Proceedings of the 13th International Conference on Algorithmic Learning Theory (ALT-02), pp. 263-277, Lübeck, Germany, 2002. Springer-Verlag.
[Abstract] [Draft]
Johannes Fürnkranz: Pairwise Classification as an Ensemble Technique
In Proceedings of the 13th European Conference on Machine Learning (ECML-02), pp.97-110, Helsinki, Finland, 2002. Springer-Verlag.
[Abstract] [Draft]
Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari: Detecting Temporal Change in Event Sequences: An Application to Demographic Data
In L. De Raedt and A. Siebes (Eds.), Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-01), pp. 29-41, Freiburg, Germany. Springer-Verlag 2001.
[Abstract] [Draft]
Alexander K. Seewald and Johannes Fürnkranz: An Evaluation of Grading Classifiers.
In Advances in Intelligent Data Analysis: Proceedings of the 4th International Symposium (IDA-01), pp. 115-124, Lisbon, Portugal. Springer-Verlag 2001.
[Abstract] [Draft]
Johannes Fürnkranz: Round Robin Rule Learning.
In C. Brodley and A. Danyluk (Eds.), Proceedings of the 18th International Conference on Machine Learning (ICML-01), pp. 146-153, Williamstown, MA, 2001. Morgan Kaufmann.
[Abstract] [Draft]
Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice.
In W. Horn (ed.), Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pp. 291-295, Berlin, 2000.
[Preliminary Version]
Johannes Fürnkranz: Exploiting Structural Information for Text Classification on the WWW.
In D.J. Hand, J.N. Kok, and M.R. Berthold (eds.) Advances in Intelligent Data Analysis: Proceedings of the 3rd Symposium (IDA-99), pp. 487-497, Amsterdam, Netherlands. Lecture Notes in Computer Science 1642, Springer-Verlag, 1999.
[Preliminary Version]
Johannes Fürnkranz: Noise-Tolerant Windowing.
In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 852-857, Nagoya, Japan, 1997. Morgan Kaufmann.
[Abstract] [Draft]
Johannes Fürnkranz: More Efficient Windowing.
In Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), pp. 509-514, Providence, RI, 1997. AAAI Press.
[Abstract] [Draft]
Robert Trappl, Johannes Fürnkranz, and Johann Petrak: Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.
In W. Wahlster (ed.), Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), pp. 453-457, Budapest, Hungary, 1996. John Wiley & Sons.
[Abstract] [Draft]
Johannes Fürnkranz: A Tight Integration of Pruning and Learning (Extended Abstract).
In N. Lavrac and S. Wrobel (eds.), Proceedings of the 8th European Conference on Machine Learning (ECML-95), pp. 291-294, Crete, Greece, 1995. Springer-Verlag.
[Abstract] [Full Paper]
Johannes Fürnkranz and Gerhard Widmer: Incremental Reduced Error Pruning.
In W. Cohen and H. Hirsh (eds.), Proceedings of the 11th International Conference on Machine Learning (ML-94), pp. 70-77, New Brunswick, NJ, 1994. Morgan Kaufmann.
[Abstract] [Draft]
Johannes Fürnkranz: Top-down pruning in relational learning .
In A.G. Cohn (ed.), Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94), pp. 453-457, Amsterdam, The Netherlands, 1994. John Wiley & Sons.
[Abstract] [Draft]
Johannes Fürnkranz: FOSSIL: A robust relational learner.
In F. Bergadano and L. De Raedt (eds.), Proceedings of the 7th European Conference on Machine Learning (ECML-94), pp. 122-137, Catania, Italy, 1994. Springer-Verlag.
[Abstract] [Extended Version]

Book Chapters and Papers in Printed Workshop Proceedings

Francesco C. Billari, Alexia Prskawetz, Johannes Fürnkranz: On the Cultural Evolution of Age-at-Marriage Norms.
In F. Billari and A. Prskawetz (eds.) Agent-Based Computational Demography, pp. 139-157, 2003. Physica-Verlag.
[Abstract] [Draft]
Johannes Fürnkranz: Machine Learning in Game Playing: A Survey.
In J. Fürnkranz and M. Kubat (eds.), Machines that Learn to Play Games, pp.11-59, Nova Science Publishers, 2001.
[Abstract] [Draft]
Robert Trappl, Johannes Fürnkranz, Johann Petrak, and Jacob Bercovitch: Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them.
In G. della Riccia, H.-J. Lenz, and R. Kruse (eds.), Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pp. 209-225, 1997. Springer-Verlag, Wien/New York.
[Abstract] [Draft]

Workshop Proceedings Edited

Eyke Hüllermeier and Johannes Fürnkranz: Preference Learning: Models, Methods, Applications - Proceedings of the KI-2003 Workshop
26th German Conference on Artificial Intelligence, Hamburg, Germany, 2003.
Johannes Fürnkranz and Miroslav Kubat: Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing
16th International Conference on Machine Learning, Bled, Slovenia, 1999.
Bernhard Pfahringer and Johannes Fürnkranz: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming (ILP for KDD)
13th International Conference on Machine Learning, Bari, Italy, 1996.

Papers in Workshop Proceedings

Johannes Fürnkranz and Johann Petrak: An Evaluation of Landmarking Variants.
In Proceedings of the ECML/PKDD Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-2001), pp. 57-68, Freiburg, 2001.
[Abstract] [Longer Version]
Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer, and Johannes Fürnkranz: Learning to Make Good Use of Operational Advice
In J. Fürnkranz & M. Kubat (eds.) Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, Bled, Slovenia, 1999.
Johannes Fürnkranz, Tom Mitchell, and Ellen Riloff: A Case Study in Using Linguistic Phrases for Text Categorization on the WWW.
In M. Sahami (ed.) Learning for Text Categorization: Papers from the 1998 AAAI/ICML Workshop, pp. 5-13, Madison, WI, 1998. AAAI Press.
Johannes Fürnkranz: Dimensionality Reduction in ILP: A Call to Arms.
In L. De Raedt and S. Muggleton (eds.), Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pp. 81-86, Nagoya, Japan, 1997.
[Abstract]
Franz-Günter Winkler and Johannes Fürnkranz: On Effort in AI Research: A Description Along Two Dimensions.
In R. Morris (ed.), Deep Blue Versus Kasparov: The Significance for Artificial Intelligence: Papers from the 1997 AAAI Workshop, pp. 56-62, Providence, RI, 1997. AAAI Press.
[Abstract]
Johannes Fürnkranz: Pruning methods for rule learning algorithms.
In S. Wrobel (ed.), Proceedings of the 4th International Workshop on Inductive Logic Programming (ILP-94), pp. 321-336, Bad Honnef, Germany, 1994. GMD-Studien #237.
[Abstract]
Johannes Fürnkranz: A comparison of pruning methods for relational concept learning.
In U. Fayyad and R. Uthurusamy (eds.), Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pp. 371-382, Seattle, WA, 1994. AAAI Press.
[Abstract]
Johannes Fürnkranz: Avoiding noise fitting in a FOIL-like learning algorithm.
In Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming , pp. 14-23, Chambery, France, 1993.
[Abstract]

Short Scientific Articles

Johannes Fürnkranz: Web Structure Mining - Exploiting the Graph Structure of the World-Wide Web
ÖGAI-Journal 21(2):17-26, 2002.
[Abstract]
Johannes Fürnkranz: A Brief Introduction to Knowledge Discovery in Databases.
ÖGAI-Journal 14(4):14-17, 1995.
Johannes Fürnkranz: Efficient Pruning Methods for Relational Learning (Extended Thesis Abstract).
AI Communications 8(2):105-106, 1995.
Johannes Fürnkranz: Inductive Logic Programming (A Short Introduction and a Thesis Abstract).
ÖGAI-Journal 13(3-4):3-8, 1994.

Technical Reports (Not Published Elsewhere)

Johannes Fürnkranz, Johann Petrak, Pavel Brazdil, and Carlos Soares: On the Use of Fast Subsampling Estimates for Algorithm Recommendation.
Technical Report OEFAI-TR-2002-36, Austrian Research Institute for Artificial Intelligence, 2002.
[Abstract]
Johannes Fürnkranz: A Study Using n-gram Features for Text Categorization.
Technical Report OEFAI-TR-98-30, Austrian Research Institute for Artificial Intelligence, 1998.
[Abstract]
Johannes Fürnkranz: Using Links for Classifying Web-Pages.
Technical Report OEFAI-TR-98-29, Austrian Research Institute for Artificial Intelligence, 1998.
[Abstract]
Johannes Fürnkranz: Knowledge Discovery in Chess Databases: A Research Proposal.
Technical Report OEFAI-TR-97-33, Austrian Research Institute for Artificial Intelligence, 1997.
Johannes Fürnkranz, Johann Petrak, Robert Trappl, and Jacob Bercovitch: Machine learning methods for international conflict databases: A case study in predicting mediation outcome.
Technical Report OEFAI-TR-94-33, Austrian Research Institute for Artificial Intelligence, 1994.
[Abstract]
Johann Petrak, Robert Trappl, and Johannes Fürnkranz: The potential contribution of AI to the avoidance of crises and wars: Using CBR methods with the KOSIMO database of conflicts.
Technical Report OEFAI-TR-94-32, Austrian Research Institute for Artificial Intelligence, 1993.
[Abstract]
Johannes Fürnkranz: The role of qualitative knowledge in machine learning.

Technical Report OEFAI-TR-93-09, Austrian Research Institute for Artificial Intelligence, 1993.
[Abstract]

Conference Reports

Johannes Fürnkranz and Miroslav Kubat: Workshop Report: Machine Learning in Game Playing.
International Computer Chess Association Journal 22(3):178,179,165. 1999.
Stefan Kramer and Johannes Fürnkranz: Bericht über ILP-98, ICML-98 und AAAI-98.
ÖGAI-Journal 17(3):2-9, 1998. In German.
Johannes Fürnkranz: Bericht über IJCAI-97 und AAAI-97.
ÖGAI-Journal 16(3):30-33, 1997. In German.
Bernhard Pfahringer and Johannes Fürnkranz: Summary of the Workshop on ILP for KDD.
MLnet News 4(2):16, November 1996.
ILP Newsletter 4(1), March 1997.
Johannes Fürnkranz: Bericht über The 11th International Conference on Machine Learning (ML-94).
ÖGAI-Journal 13(2):3-4, 1994. In German.
Johannes Fürnkranz: Bericht über The 13th International Joint Conference on Artificial Intelligence (IJCAI-93).
ÖGAI-Journal 12(1-2):10-12, 1993. In German.

Other Publications

Johannes Fürnkranz: Bibliography on Machine Learning in Strategic Game Playing
Web-Site, 1995-2005.

Unpublished

Robert Trappl, Johann Petrak, and Johannes Fürnkranz: The potential contribution of AI to the avoidance of crises and wars: Bibliography.
Unpublished Manuscript, 1994.
Johannes Fürnkranz, Johann Petrak, and Robert Trappl: The potential contribution of AI to the avoidance of crises and wars: International conflict databases and machine learning.
Unpublished Manuscript, July 1994.
Johannes Fürnkranz: Application of machine learning methods to the KOSIMO database.
Paper presented at the International Workshop on the Potential Contribution of Artificial Intelligence to the Avoidance of Crises and Wars, Vienna, November 1993.
Johannes Fürnkranz: A numerical analysis of the KRK domain.
Working Note, 1993.
Johannes Fürnkranz: Explanation-Based Learning in der Domäne Schach.
Unpublished Manuscript, 1990. In German.