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EIFDD: An efficient approach for erasable itemset mining of very dense datasets., , , and . Appl. Intell., 43 (1): 85-94 (2015)Mining High Utility Itemsets from Vertical Distributed Databases., , and . RIVF, page 1-4. IEEE, (2009)CCAR: An efficient method for mining class association rules with itemset constraints., , and . Eng. Appl. Artif. Intell., (2015)Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently., , and . Eng. Appl. Artif. Intell., (2015)A Frequent Closed Itemsets Lattice-based Approach for Mining Minimal Non-Redundant Association Rules, and . CoRR, (2011)An N-list-based algorithm for mining frequent closed patterns., and . Expert Syst. Appl., 42 (19): 6648-6657 (2015)A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction., , , , and . Complex., (2019)IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree., , and . Vietnam. J. Comput. Sci., 1 (2): 97-105 (2014)Efficient list based mining of high average utility patterns with maximum average pruning strategies., , , , , , and . Inf. Sci., (2021)DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets., , and . Expert Syst. Appl., 39 (8): 7196-7206 (2012)