Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

449 Publications


2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, & M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.
LibreCat
 

2007 | Book Chapter | LibreCat-ID: 16226
Beringer, J., & Hüllermeier, E. (2007). Fuzzy clustering of parallel data streams. In J. Valente de Oliveira & W. Pedrycz (Eds.), Advances in Fuzzy Clustering and its Applications (pp. 333–352). John Wiley and Sons.
LibreCat
 

2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.
LibreCat
 

2007 | Book | LibreCat-ID: 16282
Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.
LibreCat
 

2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., Fürnkranz, J., & Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 15785
Beringer, J., & Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier, E., & Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier, E. (2006). Credible case-based inference using similarity profiles. In M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey (pp. 230–242).
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 14836
Bade, K., Hüllermeier, E., & Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 14837
Brinker, K., & Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 14838
Brinker, K., Fuernkranz, J., & Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier, E. (2006). Integrating instance-based learning and logistic regression. In In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France.
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.
LibreCat
 

2006 | Journal Article | LibreCat-ID: 16173
Dubois, D., Hüllermeier, E., & Prade, H. (2006). A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery, 13(2), 167–192.
LibreCat
 

2006 | Journal Article | LibreCat-ID: 16176
Dubois, D., Hüllermeier, E., & Prade, H. (2006). Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems, 27, 95–115.
LibreCat
 

2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier, E., & Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.
LibreCat
 

2006 | Journal Article | LibreCat-ID: 16183
Beringer, J., & Hüllermeier, E. (2006). Online clustering of parallel data streams. Data and Knowledge Engineering, 58(2), 180–204.
LibreCat
 

2006 | Journal Article | LibreCat-ID: 16195
Karimi, I., Hüllermeier, E., & Meskouris, K. (2006). A fuzzy-probablistic earthquake risk assessment system. Soft Computing, 11(3), 229–238.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 15799
Brinker, K., & Hüllermeier, E. (2005). Calibrated label-ranking. In S. Agarwal, C. Cortes, & R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada (pp. 1–6). http://web.mit.edu/shivani/www/Ranking-NIPS-05/.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier, E., Fürnkranz, J., & Beringer, J. (2005). On position error and label ranking through iterated choice. In In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany (pp. 158–163).
LibreCat
 

Filters and Search Terms

department=355

Search

Filter Publications

Display / Sort

Citation Style: APA

Export / Embed