Hüllermeier, Eyke. “Fuzzy Methods in Data Mining.” In Encyclopedia of Data Warehousing and Mining - Second Edition, 907–12. Idea Group, Inc.,Hershey, USA, 2008.

Hüllermeier, Eyke, and J. Fürnkranz. “Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants.” In Preferences and Similarities, edited by G. Della Riccia, D. Dubois, R. Kruse, and H.J. Lenz, 283–304. Preferences and Similarities. Springer, 2008.

Hüllermeier, Eyke, I. Vladimirskiy, B. Prados Suarez, and E. Stauch. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” In In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, edited by K.D. Althoff, R. Bergmann, M. Minor, and A. Hanft, 240–54, 2008.

Cheng, W., and Eyke Hüllermeier. “Learning Similarity Functions from Qualitative Feedback.” In In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, edited by K.D. Althoff, R. Bergmann, M. Minor, and A. Hanft, 120–34. Springer, 2008.

Cheng, W., Eyke Hüllermeier, B. Seeger, and I. Vladimirskiy. “Interactive Ranking of Skylines Using Machine Learning Techniques.” In In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 141–48, 2007.

Fober, T., Eyke Hüllermeier, and M. Mernberger. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” In In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, edited by R. Mikut and M. Reischl, 1–14, 2007.

Vladimirskiy, I., Eyke Hüllermeier, and E. Stauch. “Similarity Search over Uncertain Archaeological Data Using a Modified Skyline Operator.” In In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, edited by D.C. Wilson and D. Khemani, 31–40, 2007.

Hüllermeier, Eyke, and J. Fürnkranz. “On Minimizing the Position Error in Label Ranking.” In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer, 2007.

Brinker, K., and Eyke Hüllermeier. “Label Ranking in Case-Based Reasoning.” In In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, edited by M. Richter and R. Weber, 4626:77–91. LNAI. Springer, 2007.

Beringer, J., and Eyke Hüllermeier. “Efficient Instance-Based Learning on Data Streams.” In In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, edited by P. Perner, 34–48. Springer, 2007.

Brinker, K., and Eyke Hüllermeier. “Case-Based Multilabel Ranking.” In In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 701–7, 2007.

Hüllermeier, Eyke, and K. Brinker. “Fuzzy-Relational Classificatonf: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling.” In In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 1:353–60, 2007.

Beringer, J., and Eyke Hüllermeier. “Adaptive Optimization of the Number of Clusters in Fuzzy Clustering, London 2007.” In In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.

Hüllermeier, Eyke, N. Weskamp, G. Klebe, and D. Kuhn. “Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites.” In In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.

Hüllermeier, Eyke, and Y. Yi. “In Defense of Fuzzy Association Analysis.” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37, no. 4 (2007): 1039–43.

Hüllermeier, Eyke. “Credible Case-Based Inference Using Similarity Profiles.” IEEE Transactions on Knowledge and Data Engineering 19, no. 5 (2007): 847–58.

Beringer, J., and Eyke Hüllermeier. “Efficient Instance-Based Learning on Data Streams.” Intelligent Data Analysis 11, no. 6 (2007): 627–50.

Dubois, D., and Eyke Hüllermeier. “Comparing Probability Measures Using Possibility Theory: A Notion of Relative Peakedness.” International Journal of Approximate Reasoning 45, no. 2 (2007): 364–85.

Weskamp, N., Eyke Hüllermeier, D. Kuhn, and G. Klebe. “Multiple Graph Aligment for the Structural Analysis of Protein Active Sites.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 4, no. 2 (2007): 310–20.

Karimi, I., and Eyke Hüllermeier. “Risk Assessment for Natural Hazards: A New Approach Based on Fuzzy Probability.” Fuzzy Sets and Systems 158, no. 9 (2007): 987–99.

Hüllermeier, Eyke. “Why Fuzzy Set Theory Is Useful in Data Mining.” In Successes and New Directions in Data Mining, edited by F. Masseglia, P. Poncelet, and M. Teisseire, 1–16. Information Science Reference, Hershey, New York, 2007.

Beringer, J., and Eyke Hüllermeier. “Fuzzy Clustering of Parallel Data Streams.” In Advances in Fuzzy Clustering and Its Applications , edited by J. Valente de Oliveira and W. Pedrycz, 333–52. John Wiley and Sons, 2007.

Hüllermeier, Eyke. “Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.” In Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 355–74. Springer, 2007.

Hüllermeier, Eyke. Case-Based Approximate Reasoning. Vol. 44. Series B: Mathematical and Statistical Methods. Springer, 2007.

Sulzmann, J.N., J. Fürnkranz, and Eyke Hüllermeier. “On Pairwise Naive Bayes Classifiers.” In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer, 2007.

Beringer, J., and Eyke Hüllermeier. “Adaptive Optimization of the Number of Clusters in Fuzzy Clustering, Dortmund, Germany 2006.” In In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, edited by R. Mikut and M. Reischl, 140–49, 2006.

Hüllermeier, Eyke, and K. Brinker. “Classification via Fuzzy Preference Learning.” In In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, edited by R. Mikut and M. Reischl, 190–99, 2006.

Hüllermeier, Eyke. “Credible Case-Based Inference Using Similarity Profiles.” In In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, edited by M. Minor, 230–42, 2006.

Bade, K., Eyke Hüllermeier, and A. Nürnberger. “Hierarchical Classification by Expected Utility Maximization.” In In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 43–52. IEEE Computer Society Press, 2006.

Brinker, K., and Eyke Hüllermeier. “Case-Based Label Ranking.” In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 566–73. Springer, 2006.

Brinker, K., J. Fuernkranz, and Eyke Hüllermeier. “A Unified Model for Multilabel Classification and Ranking.” In In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy, edited by G. Brewka, S. Coradeschi, A. Perini, and P. Traverso, 489–93, 2006.

Hüllermeier, Eyke. “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, 2006.

Hüllermeier, Eyke. “The Choquet Integral as an Aggregation Operator in Case-Based Learning.” In In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, edited by B. Reusch, 615–28. Springer, 2006.

Dubois, D., Eyke Hüllermeier, and H. Prade. “A Systematic Approach to the Assessment of Fuzzy Association Rules.” Data Mining and Knowledge Discovery 13, no. 2 (2006): 167–92.

Dubois, D., Eyke Hüllermeier, and H. Prade. “Fuzzy Methods in Case-Based Recommendation and Decision Support.” Journal of Intelligent Information Systems 27 (2006): 95–115.

Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” Intelligent Data Analysis 10, no. 5 (2006): 419–40.

Beringer, J., and Eyke Hüllermeier. “Online Clustering of Parallel Data Streams.” Data and Knowledge Engineering 58, no. 2 (2006): 180–204.

Karimi, I., Eyke Hüllermeier, and K. Meskouris. “A Fuzzy-Probablistic Earthquake Risk Assessment System.” Soft Computing 11, no. 3 (2006): 229–38.

Brinker, K., and Eyke Hüllermeier. “Calibrated Label-Ranking.” In In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, edited by S. Agarwal, C. Cortes, and R. Herbrich, 1–6. http://web.mit.edu/shivani/www/Ranking-NIPS-05/., 2005.

Hüllermeier, Eyke, J. Fürnkranz, and J. Beringer. “On Position Error and Label Ranking through Iterated Choice.” In In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 158–63, 2005.

Hüllermeier, Eyke, and Cho-k NN. “A Method for Combining Interacting Pieces of Evidence in Case-Based Learning.” In In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland, edited by L. Kaelbling and A. Saffiotti, 3–8, 2005.

Hüllermeier, Eyke, and J. Fürnkranz. “Learning Label Preferences: Ranking Error versus Position Error.” In In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, edited by A. Famili, J. Kok, J. Pena, A. Siebes, and A. Feelders, 3646:180–91. LNCS. Springer, 2005.

Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” In In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, edited by A. Famili, J. Kok, J. Pena, A. Siebes, and A. Feelders, 3646:168–79. LNAI. Springer, 2005.

Dubois, D., and Eyke Hüllermeier. “A Notion of Comarative Probabilistic Entroy Based on the Possibilistic Specificity Ordering.” In In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.

Karimi, I., and Eyke Hüllermeier. “A Fuzzy-Probablistic Risk Assessment System for Natural Disasters.” In In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 1147–53, 2005.

Lughofer, E., Eyke Hüllermeier, and E. Klement. “Improving the Interpretability of Data-Driven Evolving Fuzzy Systems.” In In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.

Yi, Y., and Eyke Hüllermeier. “Learning Complexity-Boundet Rule-Based Classifiers by Combining Association Analysis and Genetic Algorithms.” In In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.

Hüllermeier, Eyke. “Fuzzy Sets in Machine Learning and Data Mining: Status and Prospects.” Fuzzy Sets and Systems 156, no. 3 (2005): 387–406.

Hüllermeier, Eyke. “Experience-Based Decision Making: A Satisficing Decision Tree Approach.” IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans 35, no. 5 (2005): 641–53.

Balasubramaniyan, R., Eyke Hüllermeier, N. Weskamp, and J. Kämper. “Clustering of Gene Expression Data Using a Local Shape-Based Similarity Measure.” Bioinformatics 21, no. 7 (2005): 1069–77.