Design and Development of Apriori Algorithm for Sequential to concurrent mining using MPI

Authors

  • Urmila Pol Shivaji University, Kolhapur, M.S-416 004

DOI:

https://doi.org/10.24297/ijct.v10i7.7026

Abstract

Owing to the conception of big data and massive data processing there are increasing owes related to the temporal aspects of the data processing. In order to address these issues a continuous progression in data collection, storage technologies, designing and implementing large-scale parallel algorithm for Data mining is seen to be emerging in a rapid pace. In this regards, the Apriori algorithms have a great impact for finding frequent item sets using candidate generation. This paper presents highlights on parallel algorithm for mining association rules using MPI for passing message base in the Master-Slave based structural model.

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Published

2013-10-23

How to Cite

Pol, U. (2013). Design and Development of Apriori Algorithm for Sequential to concurrent mining using MPI. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 10(7), 1785–1790. https://doi.org/10.24297/ijct.v10i7.7026

Issue

Section

Research Articles