PARALLEL MINING OF FREQUENT MAXIMAL ITEMSETS USING ORDER PRESERVING GENERATORS

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

Internet

http://ictactjournals.in/paper/ijsc1_page_63_69.pdf

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