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

Thomas, Wessel

Softcover

ISBN 10: 3846502065 ISBN 13: 9783846502068

Publisher: LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

About this title

About the Author

Dr. Thomas is a Principal Lecturer in the School of Computing and Information Technology, University of Technology, Jamaica. His research interests include data mining, parallel algorithm design, computer graphics and high performance computing. Dr. Thomas is the author of numerous conference presentations. He is a member of IEEE and ACM.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• Language: English
• ISBN 10: 3846502065
• ISBN 13: 9783846502068
• Binding: Paperback
• Number of pages: 252