High‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many
algorithms have been proposed to discover HUIs. Most of the algorithms work only for …

Finding High Utility Itemsets (HUIs) is one of the major problems in the area of frequent
itemsets mining. However, HUIs mine lots of redundant itemsets which degrade the …

Mining high utility itemsets (HUIs) is a basic task of frequent itemsets mining (FIM). In recent
years, a trend in FIM has been to design algorithm for mining HUIs because FIM assumes …

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 …

High utility itemset (HUI) mining is one of the popular and important data mining tasks.
Several studies have been carried out on this topic, which often discovers a very large …

Exploratory big data analytics requires the interaction delays to be kept at minimum.
Although data cubes help this goal by pre-calculating the measures of interest, some …

High utility itemsets (HUIs) mining is one of the emerging topics in the data mining.
Compared to the frequent itemsets mining, the utility mining provides more informative and …