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448 Publications


2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier E. Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering. 2007;19(5):847-858.
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2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier E. Fuzzy methods for data mining and machine learning: State of the art and prospects. In: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer; 2007:355-374.
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2007 | Conference Paper | LibreCat-ID: 14835
Brinker K, Hüllermeier E. Case-based multilabel ranking. In: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007. ; 2007:701-707.
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2007 | Conference Paper | LibreCat-ID: 15782
Cheng W, Hüllermeier E, Seeger B, Vladimirskiy I. Interactive ranking of skylines using machine learning techniques. In: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany. ; 2007:141-148.
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2007 | Conference Paper | LibreCat-ID: 15198
Beringer J, Hüllermeier E. 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.
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2007 | Journal Article | LibreCat-ID: 16172
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. Intelligent Data Analysis. 2007;11(6):627-650.
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2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier E, Weskamp N, Klebe G, Kuhn D. 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.
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2007 | Conference Paper | LibreCat-ID: 15783
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Mikut R, Reischl M, eds. In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany. ; 2007:1-14.
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2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier E. Why fuzzy set theory is useful in data mining. In: Masseglia F, Poncelet P, Teisseire M, eds. Successes and New Directions in Data Mining. Information Science Reference, Hershey, New York; 2007:1-16.
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2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann JN, Fürnkranz J, Hüllermeier E. On pairwise Naive Bayes classifiers. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer; 2007.
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