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Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy.

, , , and . Knowl. Based Syst., (2020)

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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)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)Efficient list based mining of high average utility patterns with maximum average pruning strategies., , , , , , and . Inf. Sci., (2021)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)Relations and compositions between interval-valued complex fuzzy sets and applications for analysis of customers' online shopping preferences and behavior., , , , , , and . Appl. Soft Comput., (2022)Text Clustering Using Frequent Weighted Utility Itemsets., , , and . Cybern. Syst., 48 (3): 193-209 (2017)Efficient algorithms for mining clickstream patterns using pseudo-IDLists., , , , , and . Future Gener. Comput. Syst., (2020)