ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

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

Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.10, No. 7)

Publication Date:

Authors : ;

Page : 1785-1790

Keywords : Apriori algorithms; Data Mining; Frequent item sets;

Source : Download Find it from : Google Scholarexternal

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.

Last modified: 2016-06-29 18:59:22