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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:
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
Author Related Publications
Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
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Khalied Mohamed Hosny, "Building a New Semantic Social Network Using Semantic Web-Based Techniques", ِASPG, 2021
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Khalied Mohamed Hosny, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022
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Khalied Mohamed Hosny, "Fast computation of accurate Zernike moments", Springer, 2008
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Khalied Mohamed Hosny, "Accurate Computation of QPCET for Color Images in Different Coordinate Systems", SPIE, 2017
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Department Related Publications
Ahmed Salah Mohamed Mostafa, "Cluster-Distribute-Align-Merge: A General Algorithm to Speed Up Multiple Sequence Alignment on Multi-Core Computers", Journal of Computational and Theoretical Nanoscience, 2014
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Zaher Awad Aboelenieen Elhendy, "NEW APPROACH TO IMAGE EDGE DETECTION BASED ON QUANTUM ENTROPY", JOURNAL OF RUSSIAN LASER RESEARCH, 2016
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Sarah AbdelRazek Ahmed AbdulHameid, "Cloud Storage Forensics: Survey", International Journal of Engineering Trends and Technology (IJETT), 2017
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Doaa El-Shahat Barakat Mohammed, "A modified hybrid whale optimization algorithm for the scheduling problem in multimedia data objects", Wiley online library, 2019
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Mohammed Abdel Basset Metwally Attia, "A novel model for evaluation Hospital medical care systems based on plithogenic sets", Elsevier B.V., 2019
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