Downloads: 116 | Views: 122
Research Paper | Computer Science & Engineering | China | Volume 4 Issue 2, February 2015
Parallel Association Rule Algorithm using Hybrid Parallel Computing
Negussie Zadig Serawit
Abstract: with massive amount of data continuously being collected and stored, many industries are becoming interested in mining such patterns from their databases. The discovery of interesting correlation relationship among huge amount of business transactions records can help in many business decision-making process. Simply adding more processors will not magically improve the performance of the vast majority of serial programs. Clearly, parallel computing can have an enormous impact on application performance, and OpenMP and MPI facilitates aces to this enhanced performance. Having them work in a hybrid model, will result in a better efficiency supporting each other. As an example this paper is intended to provide an insight of hybrid parallel implementation for mining an association rule called Apriori.
Keywords: Apriori algorithm, parallel computing, MPI, OpenMP, hybrid parallel computing, parallel Apriori
Edition: Volume 4 Issue 2, February 2015,
Pages: 642 - 645
Similar Articles with Keyword 'Apriori algorithm'
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016Pages: 2334 - 2339
A Novel Way for Mining Frequent and Interesting Patterns using Genetic Algorithm
Reshu Tyagi | Muskaan Batra
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014Pages: 1395 - 1399
Improvement in Apriori Algorithm with New Parameters
Reeti Trikha | Jasmeet Singh