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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:
Ibrahiem Mahmoud Mohamed Elhenawy
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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Ibrahiem Mahmoud Mohamed Elhenawy, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016
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Ibrahiem Mahmoud Mohamed Elhenawy, "Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization", Springer, 2017
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Ibrahiem Mahmoud Mohamed Elhenawy, "Solving 0–1 knapsack problem by binary flower pollination algorithm", Springer, 2018
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Department Related Publications
Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021
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Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021
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Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010
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Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013
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Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012
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