Apriori Algorithm Using Map Reduce

Journal Title: International Journal of Research and Review - Year 2018, Vol 5, Issue 5

Abstract

Data mining is mainly used to extract the important information from large databases. On the other hand cloud computing provides the large data storage but now days, data is increasing day by day. To handle this much data and learn patterns from it has become a challenging part. Because, to learn the patterns or knowledge from these bulk amount of datasets available systems take more time and require more resources. Hence to improve the speed and reduce required cost in order to improve systems efficiency we are going to provide an algorithm called FIM which includes the map- reduce programming for frequent itemset mining. We are implementing three successive map reduce to find association rules.

Authors and Affiliations

Prof. Mrs. Sandhya S. Waghere

Keywords

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  • EP ID EP480245
  • DOI -
  • Views 97
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How To Cite

Prof. Mrs. Sandhya S. Waghere (2018). Apriori Algorithm Using Map Reduce. International Journal of Research and Review, 5(5), 129-132. https://europub.co.uk/articles/-A-480245