Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. R. Agrawal, and R. Srikant, “Fast Algorithms for Mining Association Rules”, In Proc. VLDB 1994, pp.487-499
    2. A. Savasere, E. Omiecinski, and S. Navathe, “An Efficient Algorithm for Mining Association Rules in Large Databases”, In VLDB’95, pp.432-443, Zurich, Switzerland
    3. S. Brin, et a1. Dynamic item set counting and implication rules for market basket data. Proceedings of the ACM SIGMOD International Conference on Management of Data. 1997. 123-140
    4. J. S. Park, M. S. Chen, P. S. Yu. Efficient parallel data mining of association rules. 4th International Conference on Information and Knowledge Management, 1995, 11: 233- 235P
    5. Jeffrey Dean,Sanjay Ghemawat.Map/Reduce:Simplified Data Processing on Large Clusters[R]. OSDI’04: Sixth Symposium on Operating System Design and Implementation 2004
    6. Li N., Zeng L., He Q. & Shi Z. (2012). Parallel Implementation of Apriori Algorithm Based on MapReduce. In:Proceedings of the 13th ACM International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD ‘12). Kyoto, IEEE: 236–241.
    7. Lin M., Lee P. & Hsueh S. (2012). Apriori-based Frequent Item set Mining Algorithms on MapReduce. Proc. of the 16th International Conference on Ubiquitous Information Management and Communication (ICUIMC ‘12). New York, NY, USA, ACM: Article No.76

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