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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)Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently., , and . Eng. Appl. Artif. Intell., (2015)CCAR: An efficient method for mining class association rules with itemset constraints., , and . Eng. Appl. Artif. Intell., (2015)EIFDD: An efficient approach for erasable itemset mining of very dense datasets., , , and . Appl. Intell., 43 (1): 85-94 (2015)DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets., , and . Expert Syst. Appl., 39 (8): 7196-7206 (2012)An efficient topological-based clustering method on spatial data in network space., , , , and . Expert Syst. Appl., (April 2023)A weighted N-list-based method for mining frequent weighted itemsets., , , , and . Expert Syst. Appl., (2018)An efficient method for mining High-Utility itemsets from unstable negative profit databases., , , and . Expert Syst. Appl., 237 (Part C): 121489 (March 2024)EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits., , , , , , , and . Expert Syst. Appl., (2022)