An Efficient Tree Based Algorithm for Mining High Average-Utility Itemset

High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset. High average-utility itemset mining (HAUIM) is a variation of traditio...

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Veröffentlicht in:	IEEE access 2019-01, Vol.7, p.1-1
Hauptverfasser:	Yildirim, Irfan, Celik, Mete
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Average utility Consumption Data analysis Data mining Data structures Digital media high average utility itemset pruning strategy tighter upper bounds Upper bounds Utilities utility mining
Online-Zugang:	Volltext
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