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Efficient mining of concise and informative representations of frequent high utility itemsets.

, , , and . Eng. Appl. Artif. Intell., 126 (Part D): 107111 (November 2023)

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Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds., , , and . IEEE Trans. Knowl. Data Eng., 31 (2): 301-314 (2019)H-FHAUI: Hiding frequent high average utility itemsets., , , , and . Inf. Sci., (2022)Efficient algorithms for mining frequent high utility sequences with constraints., , , , , and . Inf. Sci., (2021)Fast generation of sequential patterns with item constraints from concise representations., , , and . Knowl. Inf. Syst., 62 (6): 2191-2223 (2020)Efficient high average-utility itemset mining using novel vertical weak upper-bounds., , , , and . Knowl. Based Syst., (2019)Approximate high utility itemset mining in noisy environments., , , , , , and . Knowl. Based Syst., (2021)Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions., , and . Eng. Appl. Artif. Intell., (2018)Pattern Mining: Current Challenges and Opportunities., , , , , , and . DASFAA (Workshops), volume 13248 of Lecture Notes in Computer Science, page 34-49. Springer, (2022)Efficient Algorithms for Mining Frequent Itemsets with Constraint., , , and . KSE, page 19-25. IEEE Computer Society, (2011)An Efficient Algorithm for Mining Frequent Itemsets with Single Constraint., , and . Advanced Computational Methods for Knowledge Engineering, volume 479 of Studies in Computational Intelligence, Springer, (2013)