Maintenance algorithm for high average-utility itemsets with transaction deletion
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DOI: 10.1007/s10489-018-1180-8
Abstract: High-utility itemset mining (HUIM) is an extension of traditional association-rule mining that can find profitable itemsets for decision-making. It faces, however, a limitation since the utility of an itemset increases along with the size of… read more here.
Keywords: average utility; mining; high average; transaction ... See more keywords
High average-utility itemsets mining: a survey
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DOI: 10.1007/s10489-021-02611-z
Abstract: HUIM (High utility itemsets mining) is a sub-division of data mining dealing with the task to obtain promising patterns in the quantitative datasets. A variant of HUIM is to discover the HAUIM (High average-utility itemsets… read more here.
Keywords: average utility; utility itemsets; high average; itemsets mining ... See more keywords
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds
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DOI: 10.1109/tkde.2018.2833478
Abstract: Mining High Average-Utility Itemsets (HAUIs) in a quantitative database is an extension of the traditional problem of frequent itemset mining, having several practical applications. Discovering HAUIs is more challenging than mining frequent itemsets using the… read more here.
Keywords: upper bounds; mining high; high average; mining ... See more keywords