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A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases., and . Fundam. Informaticae, 78 (4): 575-594 (2007)Vers des Machines à Vecteurs Support Äctionnables" : Une Approche Fondée sur le Classement., , and . EGC, volume RNTI-E-11 of Revue des Nouvelles Technologies de l'Information, page 285-296. Cépaduès-Éditions, (2008)Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S., , and . EDM, page 628-629. International Educational Data Mining Society (IEDMS), (2015)Making Sense of Word Sense Variation., , and . SEW@NAACL-HLT, page 2-9. Association for Computational Linguistics, (2009)Machine Learning for theNew York City Power Grid., , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (2): 328-345 (2012)QuantMiner for mining quantitative association rules., , , , , and . J. Mach. Learn. Res., 14 (1): 3153-3157 (2013)Alive on Back-feed Culprit Identification via Machine Learning., , and . ICMLA, page 725-730. IEEE Computer Society, (2009)Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations., , , and . Lang. Resour. Evaluation, 46 (2): 219-252 (2012)Learning Characteristic Rules in Geographic Information Systems., , and . RuleML, volume 9202 of Lecture Notes in Computer Science, page 431-444. Springer, (2015)Sequential Event Prediction with Association Rules., , , , and . COLT, volume 19 of JMLR Proceedings, page 615-634. JMLR.org, (2011)