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Graphical Models: Representations for Learning, Reasoning and Data Mining

, , and . Wiley, United Kingdom, 2nd edition, (August 2002)

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The Hubness Phenomenon: Fact or Artifact?, , , and . Towards Advanced Data Analysis by Combining Soft Computing and Statistics, volume 285 of Studies in Fuzziness and Soft Computing, Springer Berlin Heidelberg, (2013)From Data and Information Analysis to Knowledge Engineering - Proc. of the 29th Annual Conf. of the Gesellschaft für Klassifikation, , , , and . Springer-Verlag, Berlin, (2006)From data and information analysis to knowledge engineering - proceedings of the 29th annual conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9 - 11, 2005 ; with 120 tables, , , , and . Studies in classification, data analysis, and knowledge organization Berlin u.a., (2006)Computational Intelligence Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, , , , , and . Computational Intelligence Springer Vieweg, Wiesbaden, 2 edition, (2015)Initializing k-means Clustering., and . DATA, page 260-267. SciTePress, (2020)Aggregation of Subclassifications: Methods, Tools and Experiments., and . SSCI, page 3124-3131. IEEE, (2019)(Approximate) Frequent Item Set Mining Made Simple with a Split and Merge Algorithm., and . Scalable Fuzzy Algorithms for Data Management and Analysis, IGI Global, (2009)Local Structure Learning in Graphical Models., and . Planning Based on Decision Theory, volume 472 of CISM courses and lectures : International Centre for Mechanical Sciences, Springer, (2003)Possibilistic Graphical Models., , and . Computational Intelligence in Data Mining, volume 408 of International Centre for Mechanical Sciences (CISM) Book Series, Springer, (2000)Canonical Forms for Frequent Graph Mining. Advances in Data Analysis, (2007)