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Research Paper
Year: 2018 | Month: May | Volume: 5 | Issue: 5 | Pages: 129-132
Apriori Algorithm Using Map Reduce
Prof. Mrs. Sandhya S.Waghere1, Sanchita Sonar2, Shweta Kawad2, Karishma Murudkar2
1Assistant Professor, Information Technology, Pimpri Chinchwad College of Engineering, Pune, India.
2BE Information Technology, Pimpri Chinchwad College of Engineering, Pune, India.
Corresponding Author: Shweta Kawad
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.
Key words: Apriori, map reduce, association rule mining, frequent itemsets.
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