Parallel Mining of Association Rules Using a Lattice Based Approach : Mining of Association Rules

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3846502065 / 9783846502068

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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 association rules extracted from these transactions. The goal of this research was to develop and implement a parallel algorithm for mining 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. We implemented the DDRM using a dynamic load balancing approach to assign classes to processors for analysis of these classes in order to determine if there are any rules present in them. Experimental results show that DDRM utilizes the processors efficiently and performed better than the prefix-based and Partition algorithms that use a static approach to assign classes to the processors. The DDRM algorithm scales well and shows good speedup.…

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Title
Parallel Mining of Association Rules Using a Lattice Based Approach : Mining of Association Rules
Author
Wessel Thomas
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3846502065
ISBN 13
9783846502068
Item weight
393 grams
Dimensions
220x150x16 mm

AHA-BUCH GmbH

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