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Iterative Approach for Frequent Set Mining Using Hadoop Over Cloud Environment

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 105))

Abstract

Cloud computing initially gained popularity as it offered an alternative for handling the ever-growing size of data. One of the main advantages of Cloud computing is parallel processing of data, which causes the effect of pooling the resources of various systems. The proposed project aims to implement the feature for the purpose of data mining and will use the Apriori Algorithm to demonstrate the results. Hadoop platform will be utilized for this project. The system will receive a dataset and redistribute it to the nodes of the cloud. Here, Apriori algorithm will be applied upon the sections of the dataset and the results will then be combined to obtain the frequent itemsets in the global data. Using the frequent item sets, rule mining will be achieved.

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Authors and Affiliations

  1. VIT University, Vellore, Tamil Nadu, India

    S. Prasanna, Subashini Narayan, M. K. NallaKaruppan, Chunduru Anilkumar & Somula Ramasubbareddy

Authors
  1. S. Prasanna
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  2. Subashini Narayan
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  3. M. K. NallaKaruppan
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  4. Chunduru Anilkumar
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  5. Somula Ramasubbareddy
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Corresponding author

Correspondence to Somula Ramasubbareddy .

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Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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Prasanna, S., Narayan, S., NallaKaruppan, M.K., Anilkumar, C., Ramasubbareddy, S. (2019). Iterative Approach for Frequent Set Mining Using Hadoop Over Cloud Environment. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-13-1927-3_43

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  • DOI: https://doi.org/10.1007/978-981-13-1927-3_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1926-6

  • Online ISBN: 978-981-13-1927-3

  • eBook Packages: EngineeringEngineering (R0)

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