Frequent Itemset Mining in Big Data With Effective Single Scan Algorithms

This paper considers frequent itemsets mining in transactional databases. It introduces a new accurate single scan approach for frequent itemset mining (SSFIM), a heuristic as an alternative approach (EA-SSFIM), as well as a parallel implementation on Hadoop clusters (MR-SSFIM). EA-SSFIM and MR-SSFI...

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Principais autores:	Youcef Djenouri, Djamel Djenouri, Jerry Chun-Wei Lin, Asma Belhadi
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2018-01-01
Serija:	IEEE Access
Teme:	Apriori frequent itemset mining heuristic parallel computing support computing
Online dostop:	https://ieeexplore.ieee.org/document/8529189/
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