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A Review on Data Mining Algorithms for Cloud Services


Pradhumn Soni , MIT, Mandsaur; Mani Butwall, MIT, Mandsaur


Data mining, Apriori Algorithm


Data and information are basis for today’s industrial and day to day applications of almost every domain. The volume of data for most of human friendly applications is generally enormous in nature and thus it is mandatory to scale them in pre-defined clusters based on their properties. Data mining has always interested the researchers to characterize the data and is integrated in applications like: Statistics, Machine Learning, Artificial Intelligence, pattern recognition etc. Data mining applications can derive much demographic information concerning customers that was previously not known or hidden in the data. We have recently seen an increase in data mining techniques targeted to such applications as fraud detection, identifying criminal suspects, and prediction of potential terrorists. By and large, data mining systems that have been developed to data for clusters, distributed clusters and grids have assumed that the processors are the scarce resource, and hence shared. When processors become available, the data is moved to the processors. This paper surveys some data mining methods in their actual nature and modifications made in their algorithms for better output in their performance.

Other Details

Paper ID: IJSRDV3I30204
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 82-84

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