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428 Publications


2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, Eyke. “Credible Case-Based Inference Using Similarity Profiles.” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, 2007, pp. 847–58.
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2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier, Eyke. “Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.” Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–74.
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2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., and Eyke Hüllermeier. “Case-Based Multilabel Ranking.” In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–07.
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2007 | Conference Paper | LibreCat-ID: 15782
Cheng, W., et al. “Interactive Ranking of Skylines Using Machine Learning Techniques.” In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–48.
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2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., and Eyke Hüllermeier. “Adaptive Optimization of the Number of Clusters in Fuzzy Clustering, London 2007.” In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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2007 | Journal Article | LibreCat-ID: 16172
Beringer, J., and Eyke Hüllermeier. “Efficient Instance-Based Learning on Data Streams.” Intelligent Data Analysis, vol. 11, no. 6, 2007, pp. 627–50.
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2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, Eyke, et al. “Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites.” 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., et al. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, edited by R. Mikut and M. Reischl, 2007, pp. 1–14.
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2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier, Eyke. “Why Fuzzy Set Theory Is Useful in Data Mining.” Successes and New Directions in Data Mining, edited by F. Masseglia et al., Information Science Reference, Hershey, New York, 2007, pp. 1–16.
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2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., et al. “On Pairwise Naive Bayes Classifiers.” In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, Springer, 2007.
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