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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)FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy., , , and . Knowl. Inf. Syst., 53 (1): 71-107 (2017)FDHUP: Fast algorithm for mining discriminative high utility patterns., , , , and . Knowl. Inf. Syst., 51 (3): 873-909 (2017)GPU-based swarm intelligence for Association Rule Mining in big databases., , , , and . Intell. Data Anal., 23 (1): 57-76 (2019)Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility., , , , and . ACM Trans. Internet Techn., 21 (1): 3:1-3:32 (2021)TKC: Mining Top-K Cross-Level High Utility Itemsets., , , , and . ICDM (Workshops), page 673-682. IEEE, (2020)A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences., , , , , , and . ICDM, page 703-712. IEEE, (2022)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)Mining Skyline Frequent-Utility Itemsets with Utility Filtering., , and . PRICAI (1), volume 13031 of Lecture Notes in Computer Science, page 411-424. Springer, (2021)