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Data mining.Practical machine learning tools and techniques

, and . Elsevier, Amsterdam u.a., 2. ed., Nachdr. edition, (2007)525 S. : Ill..

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XGBoost: Scalable GPU Accelerated Learning., , , and . CoRR, (2018)A review of multi-instance learning assumptions., and . Knowledge Eng. Review, 25 (1): 1-25 (2010)Propositionalisation of Multi-instance Data Using Random Forests., and . Australasian Conference on Artificial Intelligence, volume 8272 of Lecture Notes in Computer Science, page 362-373. Springer, (2013)Naive Bayes for Text Classification with Unbalanced Classes., and . PKDD, volume 4213 of Lecture Notes in Computer Science, page 503-510. Springer, (2006)Improving on Bagging with Input Smearing., and . PAKDD, volume 3918 of Lecture Notes in Computer Science, page 97-106. Springer, (2006)Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets., , and . IJCAI, page 1229-1235. AAAI Press, (2015)Improving Naive Bayes for Regression with Optimized Artificial Surrogate Data., and . Applied Artificial Intelligence, 34 (6): 484-514 (2020)Classifier Chains for Multi-label Classification., , , and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 254-269. Springer, (2009)Weka-A Machine Learning Workbench for Data Mining., , , , , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)Sentiment Knowledge Discovery in Twitter Streaming Data., and . Discovery Science, volume 6332 of Lecture Notes in Computer Science, page 1-15. Springer, (2010)