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Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently.

, , and . Eng. Appl. Artif. Intell., (2015)

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Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently., , and . Eng. Appl. Artif. Intell., (2015)Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure., , and . Expert Syst. Appl., (2021)Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors., , and . Appl. Intell., 43 (1): 74-84 (2015)A new algorithm using integer programming relaxation for privacy-preserving in utility mining., , and . Appl. Intell., 53 (21): 25106-25118 (November 2023)Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques., , , and . Appl. Intell., 45 (2): 333-342 (2016)A Method for Early Pruning a Branch of Candidates in the Process of Mining Sequential Patterns., , and . ACIIDS (1), volume 10191 of Lecture Notes in Computer Science, page 487-497. (2017)Distributed algorithm for sequential pattern mining on a large sequence dataset., , and . KSE, page 18-23. IEEE, (2017)A Computational Framework for Autonomous Self-repair Systems., , , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 153-159. Springer, (2018)A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems., , and . Artif. Life, 27 (2): 80-104 (2021)