APPLYING PARALLEL ASSOCIATION RULE MINING TO HETEROGENEOUS ENVIRONMENT
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 4
Abstract
The work aims to discover frequent patterns by generating the candidates and frame the association rules after which filter out only the efficient rules based on various Rule Interestingness measures. As all these require heavy computation, application of complete parallelization to every individual phase would yield better performance. The paper illustrates the system behavior in a heterogeneous environment with both shared memory and distributed memory parallelization while efficiently mining the data.
Authors and Affiliations
P. Asha , Dr. T. Jebarajan
Keywords
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