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EIFDD: An efficient approach for erasable itemset mining of very dense datasets., , , and . Appl. Intell., 43 (1): 85-94 (2015)IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree., , and . Vietnam. J. Comput. Sci., 1 (2): 97-105 (2014)A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction., , , , and . Complex., (2019)A Frequent Closed Itemsets Lattice-based Approach for Mining Minimal Non-Redundant Association Rules, and . CoRR, (2011)Mining High Utility Itemsets from Vertical Distributed Databases., , and . RIVF, page 1-4. IEEE, (2009)An N-list-based algorithm for mining frequent closed patterns., and . Expert Syst. Appl., 42 (19): 6648-6657 (2015)EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits., , , , , , , and . Expert Syst. Appl., (2022)An efficient method for mining High-Utility itemsets from unstable negative profit databases., , , and . Expert Syst. Appl., 237 (Part C): 121489 (March 2024)A survey of itemset mining., , , , , and . WIREs Data Mining Knowl. Discov., (2017)A weighted N-list-based method for mining frequent weighted itemsets., , , , and . Expert Syst. Appl., (2018)