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Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions., , , and . J. Intell. Learn. Syst. Appl., 3 (3): 139-154 (2011)The SPMF Open-Source Data Mining Library Version 2, , , , , , and . ECML/PKDD, (2016)Mining Skyline Frequent-Utility Itemsets with Utility Filtering., , and . PRICAI (1), volume 13031 of Lecture Notes in Computer Science, page 411-424. Springer, (2021)CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets., , , , , and . ICDM (Workshops), page 599-606. IEEE, (2021)A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets., , , , and . IEEE Trans. Artif. Intell., 4 (1): 182-196 (February 2023)Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System., , , and . Canadian AI, volume 4509 of Lecture Notes in Computer Science, page 393-404. Springer, (2007)TKC: Mining Top-K Cross-Level High Utility Itemsets., , , , and . ICDM (Workshops), page 673-682. IEEE, (2020)Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining., , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 90-103. Springer, (2021)Machine Learning for Intelligent Industrial Design., , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 158-172. Springer, (2021)Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction., , , , , and . Neural Comput. Appl., 35 (16): 12235 (June 2023)