NDLI: Parallel mining of association rules using a lattice based approach

Content Provider	IEEE Xplore Digital Library
Author	Thomas, W.
Copyright Year	2007
Description	Author affiliation: Univ. of Technol., Kingston (Thomas, W.)
Abstract	The discovery of interesting patterns from database transactions is one of the major problems in knowledge discovery in database. One such interesting pattern is the discovery of association rules from these transactions. Parallel algorithms are required for the mining of association rules due to the very large databases used to store the transactions. In this paper we present a parallel algorithm for the mining of association rules. We implemented a parallel algorithm that used a lattice approach for mining association rules. The dynamic distributed rule mining (DDRM) is a lattice-based algorithm that partitions the lattice into sublattices to be assigned to processors for processing and identification of frequent itemsets. Experimental results show that DDRM utilizes the processors efficiently and performed better than the prefix-based algorithm that uses a static approach to assign classes to the processors. The DDRM algorithm scales well and shows good speedup.
Starting Page	645
Ending Page	650
File Size	234240
Page Count	6
File Format	PDF
ISBN	1424410282
DOI	10.1109/SECON.2007.342981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Association rules Lattices Partitioning algorithms Parallel algorithms Transaction databases Space technology Itemsets Marketing and sales Costs
Content Type	Text
Resource Type	Article

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