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Research on Data Mining Algorithm of Association Rules Based on Hadoop

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 873))

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Abstract

Big data mining based on cloud computing is the hot topic of the industry research, this paper proposed an improved distributed Apriori algorithm. More importantly, In view of the poor performance of running Apriori algorithm in large data, the algorithm of association rule data mining based on Apriori algorithm is put forward, and the improved distributed Apriori algorithm based on Hadoop platform is proposed. The algorithm focuses on the application of association rules algorithm based on Hadoop in mass data mining. This paper describes the idea of improved Apriori algorithm on Hadoop platform, and presents the experimental test. The experimental results show that the improved algorithm of association rules based on Hadoop can effectively improve the Apriori algorithm for association rules of operation efficiency, and reduce the redundant association rules, and has the efficient advantage in dealing with massive data.

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Acknowledgements

The work is supported in part by Department of Education of Guangdong Province under Grant 2015KQNCX188.

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Correspondence to Linrun Qiu .

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Qiu, L. (2018). Research on Data Mining Algorithm of Association Rules Based on Hadoop. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_25

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  • DOI: https://doi.org/10.1007/978-981-13-1648-7_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1647-0

  • Online ISBN: 978-981-13-1648-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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