A Spark-based Apriori algorithm with reduced shuffle overhead

Mining frequent itemset is considered as a core activity to find association rules from transactional datasets. Among the different well-known approaches to find frequent itemsets, the Apriori algorithm is the earliest proposed. Many attempts have been made to adopt the Apriori algorithm for large-s...

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Veröffentlicht in:	The Journal of supercomputing Jg. 77; H. 1; S. 133 - 151
Hauptverfasser:	Raj, Shashi, Ramesh, Dharavath, Sethi, Krishan Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2021
Schlagworte:	Compilers Computer Science Interpreters Processor Architectures Programming Languages Apriori algorithm Large-scale datasets Shuffle overhead Apache Spark
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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