Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems

Frequent itemset mining leads to the discovery of associations and correlations among items in large transactional databases. Apriori is a classical frequent itemset mining algorithm, which employs iterative passes over database combining with generation of candidate itemsets based on frequent items...

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Bibliographic Details
Main Author: Mikhail Zymbler
Format: Article
Language:English
Published: University of Zagreb Faculty of Electrical Engineering and Computing 2018-01-01
Series:Journal of Computing and Information Technology
Subjects:
Online Access:http://hrcak.srce.hr/file/318621