An Efficient Spark-Based Hybrid Frequent Itemset Mining Algorithm for Big Data

An Efficient Spark-Based Hybrid Frequent Itemset Mining Algorithm for Big Data

Frequent itemset mining (FIM) is a common approach for discovering hidden frequent patterns from transactional databases used in prediction, association rules, classification, etc. Apriori is an FIM elementary algorithm with iterative nature used to find the frequent itemsets. Apriori is used to sca...

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Bibliographic Details
Main Authors: Mohamed Reda Al-Bana, Marwa Salah Farhan, Nermin Abdelhakim Othman
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Data
Subjects:
big data
frequent pattern mining
horizontal layout
vertical layout
diffset
Spark
Online Access:https://www.mdpi.com/2306-5729/7/1/11

Internet

https://www.mdpi.com/2306-5729/7/1/11

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