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448 Publications


2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
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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.
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2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., & Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
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2007 | Conference Paper | LibreCat-ID: 15782
Cheng, W., Hüllermeier, E., Seeger, B., & Vladimirskiy, I. (2007). Interactive ranking of skylines using machine learning techniques. In In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany (pp. 141–148).
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2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., & Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
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2007 | Journal Article | LibreCat-ID: 16172
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
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2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, E., Weskamp, N., Klebe, G., & Kuhn, D. (2007). 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.
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2007 | Conference Paper | LibreCat-ID: 15783
Fober, T., Hüllermeier, E., & Mernberger, M. (2007). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In R. Mikut & M. Reischl (Eds.), in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany (pp. 1–14).
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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.
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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.
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