HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing

Frequent itemset mining is one of the data mining techniques applied to discover frequent patterns, used in prediction, association rule mining, classification, etc. Apriori algorithm is an iterative algorithm, which is used to find frequent itemsets from transactional dataset. It scans complete dat...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 73; no. 8; pp. 3652 - 3668
Main Authors:	Sethi, Krishan Kumar, Ramesh, Dharavath
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2017 Springer Nature B.V
Subjects:	Algorithms Big Data Compilers Computer Science Data management Data mining Data processing Datasets Interpreters Iterative algorithms Processor Architectures Programming Languages Scanning Frequent pattern mining Apriori algorithm Big data Apache Spark
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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