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EFIM: a fast and memory efficient algorithm for high-utility itemset mining., , , , and . Knowl. Inf. Syst., 51 (2): 595-625 (2017)A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems, , and . CoRR, (2009)Mining local and peak high utility itemsets., , , , and . Inf. Sci., (2019)Mining Productive Itemsets in Dynamic Databases., , , , , and . IEEE Access, (2020)The SPMF Open-Source Data Mining Library Version 2, , , , , , and . ECML/PKDD, (2016)Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions., , , and . J. Intell. Learn. Syst. Appl., 3 (3): 139-154 (2011)Utility Mining Across Multi-Dimensional Sequences., , , , , , and . CoRR, (2019)A survey of pattern mining in dynamic graphs., , , , , , and . WIREs Data Mining Knowl. Discov., (2020)Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases., , , , and . Int. J. Inf. Technol. Decis. Mak., 16 (6): 1549-1580 (2017)FDHUP: Fast algorithm for mining discriminative high utility patterns., , , , and . Knowl. Inf. Syst., 51 (3): 873-909 (2017)