STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advanced Database Management & Systems

Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment

  1. Aishwarya Rani M.R.
  2. Shivanand R.D.

Abstract

AbstractThe need for comprehensive support system to analyze and predict the nature of the dynamic market based on the previous records is very vital in competent industries today. The data mining is a process of extracting implicit, previously unknown and potentially useful information from data. Mining is search for relationships and global patterns that exist in the large databases but that are hidden among vast amount of data. Since the data collected tends to be huge and complex, it is necessary to structure it and process it using evolving technologies like Hadoop. Apriori algorithm is an algorithm for frequent itemsets mining and association rule learning over transactional database. This algorithm helps in finding out the frequent itemsets and thus deriving the association rule between the itemsets. Apriori algorithm when used in Hadoop framework is proven to be highly effective, with regard to time complexity. A MapReduce framework is a major part of Hadoop and performs filtering and sorting and a summary operation. This paper aims at providing solution to the task of analyzing the sales and distribution function of an enterprise using the latest Hadoop technology. Keywords: A priori algorithm, data mining, frequent itemsets, association rules, Hadoop MapReduceCite this ArticleAishwarya Rani MR, Shivanand RD. Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment. Journal of Advanced Database Management & Systems. 2016; 3(3): 8–16p.

References (8)

  1. Phani Prasad J, Murlidher Mourya. A Study of Market Basket Analysis Using a Data Mining Algorithm. In Proceedings of International Journal of Emerging Technology and Advanced Engineering . Jun 2013; 3.
  2. Shulei Zhao , Rongxin Du . Distributed Apriori in Hadoop MapReduce Framework. http://www.columbia.edu/
  3. Jeffrey Dean, Sanjay Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. In Proceedings of OSDI. 2004.
  4. Xin Yue Yang, Zhen Liu, Yan Fu. MapReduce as a Programming Model for Association Rules Algorithm on Hadoop. In Proceedings of National Natural Science Foundation of China. 2013.
  5. Christos Doulkeridis, Kjetil Norvag. A Survey on Large -Scale Analytical Qu ery Processing in MapReduce. In Proceedings of the VLDB Journal Springer. 2013.
  6. Othman Yahya, Osman Hegazy, Ehab Ezat. An Efficient Implementation of Apriori Algorithm Based on Hadoop - MapReduce Model. Internationals Journal of Reviews in Computing, 2012.
  7. Jongwook Woo. Apriori -Map/Reduce Algorithm. 2013.
  8. Frequent Itemset Mining Dataset Repository. Available from http://fimi.ua.ac.be/data/ Cite this Article Aishwarya Rani MR, Shivanand RD. Effective Implementation of Apriori Algorithm to Devel op a Suggestion System Based on Sales History Using Hadoop Environment. Journal of Advanced Database Management & Systems. 2016; 3(3): 8–16p.
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