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Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition

, , , , and . Texts in Computer Science Springer, (2020)

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Possibilistic Graphical Models., , and . Computational Intelligence in Data Mining, volume 408 of International Centre for Mechanical Sciences (CISM) Book Series, Springer, (2000)Induction of Association Rules: Apriori Implementation., and . COMPSTAT, page 395-400. Springer, (2002)Learning with Algorithmic Supervision via Continuous Relaxations., , , and . NeurIPS, page 16520-16531. (2021)Improving Naive Bayes Classifiers Using Neuro-Fuzzy Learning, , and . Proc. 6th International Conference on Neural Information Processing '99 (ICONIP'99), Perth, Australia, page 154-159. Piscataway, NJ, IEEE, (November 1999)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)Aggregation of Subclassifications: Methods, Tools and Experiments., and . SSCI, page 3124-3131. IEEE, (2019)Even Faster Exact k-Means Clustering.. IDA, volume 12080 of Lecture Notes in Computer Science, page 93-105. Springer, (2020)Canonical Forms for Frequent Graph Mining. Advances in Data Analysis, (2007)Initializing k-means Clustering., and . DATA, page 260-267. SciTePress, (2020)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)