FR-Tree: A novel rare association rule for big data problem

Faculty	Computer Science	Year:	2022
Type of Publication:	ZU Hosted	Pages:	115898 - 115898
Authors:	Khalied Mohamed Hosny Staff Zu Site Abstract In Staff Site
Journal:	Expert Systems With Applications scinapse	Volume:	187

Keywords :	FR-Tree: , novel rare association rule , , data
Abstract:	In some situations, finding the rare association rule is of higher importance than the frequent itemset. Unique rules represent rare cases, activities, or events in real-world applications. It is essential to extract exceptional critical ac

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