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Mining high coherent association rules with consideration of support measure.

, , , and . Expert Syst. Appl., 40 (16): 6531-6537 (2013)

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An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets., , , and . IJDWM, 10 (2): 18-38 (2014)An incremental mining algorithm for high utility itemsets., , and . Expert Syst. Appl., 39 (8): 7173-7180 (2012)A two-phase approach for mining weighted partial periodic patterns., , , and . Eng. Appl. Artif. Intell., (2014)Tightening upper bounds for mining weighted frequent itemsets., , , and . Intell. Data Anal., 19 (2): 413-429 (2015)Multi-criteria Utility Mining Using Maximum Constraints., , and . ICCCI, volume 8733 of Lecture Notes in Computer Science, page 466-471. Springer, (2014)A Decomposition Approach for Mining Frequent Itemsets., , , and . IIH-MSP, page 605-608. IEEE Computer Society, (2007)An improved approach for sequential utility pattern mining., , , and . GrC, page 226-230. IEEE Computer Society, (2012)Mining Erasable Itemsets Using Bitmap Representation., , , , and . ICGEC, volume 579 of Advances in Intelligent Systems and Computing, page 37-43. Springer, (2017)Fast discovery of high fuzzy utility itemsets., , , and . SMC, page 2764-2767. IEEE, (2014)A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets., , and . ACIIDS (2), volume 5991 of Lecture Notes in Computer Science, page 351-358. Springer, (2010)