A novel pruning algorithm for mining long and maximum length frequent itemsets

Volume: 142, Pages: 113004 - 113004
Published: Mar 1, 2020
Abstract
Frequent itemset mining is today one of the most popular data mining techniques. Its application is, however, hindered by the high computational cost in many real-world datasets, especially for smaller values of support thresholds. In many cases, moreover, the large number of frequent itemsets discovered is overwhelming. In some real-world applications, it is sufficient to find a smaller subset of frequent itemsets, such as identifying the...
Paper Details
Title
A novel pruning algorithm for mining long and maximum length frequent itemsets
Published Date
Mar 1, 2020
Volume
142
Pages
113004 - 113004
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