PARALLEL MINING OF FREQUENT MAXIMAL ITEMSETS USING ORDER PRESERVING GENERATORS

In this paper, we propose a parallel algorithm for mining maximal itemsets. We propose POP-MAX (Parallel Order Preserving MAXimal itemset algorithm), a fast and memory efficient parallel algorithm which enumerates all the maximal patterns concurrently and independently across several nodes. Also, PO...

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Bibliographic Details

Published in:	ICTACT Journal on Soft Computing
Main Authors:	R.V. Nataraj, S. Selvan
Format:	Article
Language:	English
Published:	ICT Academy of Tamil Nadu 2010-10-01
Subjects:	Data Mining Closed Itemsets Maximal Itemsets Mining Methods
Online Access:	http://ictactjournals.in/paper/ijsc1_page_63_69.pdf