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Data Mining: Practical Machine Learning Tools and Techniques

, , and . Morgan Kaufmann Series in Data Management Systems Morgan Kaufmann, Amsterdam, 3 edition, (2011)

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A review of multi-instance learning assumptions., and . Knowledge Eng. Review, 25 (1): 1-25 (2010)XGBoost: Scalable GPU Accelerated Learning., , , and . CoRR, (2018)Naive Bayes for Text Classification with Unbalanced Classes., and . PKDD, volume 4213 of Lecture Notes in Computer Science, page 503-510. Springer, (2006)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)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)Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 538-549. Springer, (2004)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)Fast Perceptron Decision Tree Learning from Evolving Data Streams., , , and . PAKDD (2), volume 6119 of Lecture Notes in Computer Science, page 299-310. Springer, (2010)