Data and Knowledge Engineering

Some recent publications for online access

[ A full publication list of the DKE group is available on request ]

E. Hüllermeier and J. Beringer.
Learning from Ambiguously Labeled Examples.
Intelligent Data Analysis (to appear)
[ Draft-PDF ]

D. Dubois and E. Hüllermeier.
Comparing Probability Measures Using Possibility Theory: A Notion of Relative Peakedness.
International Journal of Approximate Reasoning (to appear)
[ Draft-PDF ]

K. Brinker, E. Hüllermeier, and J. Fürnkranz.
A Unified Model for Multilabel Classification and Ranking.
Proceedings ECAI-06, 17th European Conference on Artificial Intelligence
Riva del Garda, Italy, Aug/Sept 2006.
[ Draft-PDF ]

D. Dubois, E. Hüllermeier, and H. Prade.
A Systematic Approach to the Assessment of Fuzzy Association Rules.
Data Mining and Knowledge Discovery (to appear)
[ Draft-PDF ]

E. Hüllermeier and J. Beringer.
Learning from Ambiguously Labeled Examples.
Proceedings IDA-05, 6th International Symposium on Intelligent Data Analysis
Madrid, Spain, September 2005.
[ Draft-PDF ]

E. Hüllermeier and J. Fürnkranz.
Learning Label Preferences: Ranking Error versus Position Error.
Proceedings IDA-05, 6th International Symposium on Intelligent Data Analysis
Madrid, Spain, September 2005.
[ Draft-PDF ]

E. Hüllermeier.
Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning.
Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, pp 3-8.
Edinburgh, Scotland, July/August 2005.
[ Draft-PDF ]

J. Beringer and E. Hüllermeier.
Online-Clustering of Parallel Data Streams.
Data and Knowledge Engineering (to appear).
[ Draft-PDF ]

E. Hüllermeier.
Fuzzy-Methods in Machine Learning and Data Mining: Status and Prospects.
Fuzzy Sets and Systems 156(3), 387-407, 2005.
[ Draft-PDF ]

D. Dubois and E. Hüllermeier.
A Notion of Comparative Probabilistic Entropy based on the Possibilistic Specificity Ordering.
Proceedings ECSQARU-2005, 8. European Conferences on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
Valencia, Spain, July 2005.
[ Draft-PDF ]

E. Hüllermeier.
Instance-Based Prediction with Guaranteed Confidence.
Proceedings ECAI-2004, 16th European Conference on Artificial Intelligence,
Valencia, Spain, August 2004.
[ PDF ]

E. Hüllermeier and J. Fürnkranz,
Ranking by Pairwise Comparison: A Note on Risk Minimization.
Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems.
Budapest, Hungary, July 2004.
[ PDF ]

E. Hüllermeier and J. Fürnkranz,
Comparison of Ranking Procedures in Pairwise Preference Learning.
IPMU-04, International Conference on Information Processing and Management of Uncertainty in Knoweldge-Based Systems.
Perugua, Italy, 2004.
[ PDF ]

E. Hüllermeier and J. Fürnkranz (eds).
Preference Learning: Models, Methods, Applications.
Technical Report TR-2003-14, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, May 2003.
Proceedings of the Workshop held as part of KI-2003, Hamburg, September 2003.
[ PDF ]

N. Weskamp, D. Kuhn, E. Hüllermeier and G. Klebe.
Efficient Similarity Search in Protein Structure Databases: Improving Clique-Detection through Clique-Hashing.
Proceedings GCB - 2003, German Conference on Bioinformatics, Munic, October 2003.
[ PDF ]

E. Hüllermeier.
Possibilistic Instance-Based Learning.
Artificial Intelligence, Volume 148, Issues 1-2, Pages 335-383, April 2003.
[ Draft-PDF ]

D. Dubois, E. Hüllermeier and H. Prade.
A Note on Quality Measures for Fuzzy Association Rules.
Proceedings IFSA-03, 10th International Fuzzy Systems Association World Congress,
Lecture Notes in Artificial Intelligence, number 2715, pages 677-648, Springer-Verlag, Istambul, July 2003.
[ Draft-PDF ]

J. Fürnkranz and E. Hüllermeier.
Pairwise Preference Learning and Ranking.
Technical Report TR-2003-14, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, May 2003.
[ PDF ]

Contact: Eyke Hüllermeier