An understanding of machine learning techniques in big data analytics: a survey

  • Authors

    • S Josephine Isabella
    • Sujatha Srinivasan
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.15471
  • Big Data, Big Data Analytics, Machine Learning, Classification, Clustering, SVM.

  • Abstract

    Big data is a Firing Term in the recent era of the modern world, due to the information exploita-tion; there is an enormous amount of data produced. Big data is a powerful momentum of infor-mation and communication technology field due to the effect of growing data in healthcare, IOT, cloud computing, online education, online businesses, and public management. The produced data is not only large but also complex. Big data has a large amount of unstructured data so that there is a need to develop advanced tools and techniques for handling big data. Machine Learning is a prominent area of Artificial Intelligence. It makes the system to make intelligent resolutions by giving the knowledge to achieve the goals. This study reviews the various challenges and innovative ideas for big data analytics with machine learning in different fields over the past ten years. This paper mainly organized to identify the research projects based on the discussions over machine learning techniques for big data analytics and provide suggestions to develop the new projects.

     

     

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  • How to Cite

    Josephine Isabella, S., & Srinivasan, S. (2018). An understanding of machine learning techniques in big data analytics: a survey. International Journal of Engineering & Technology, 7(2.33), 666-672. https://doi.org/10.14419/ijet.v7i2.33.15471

    Received date: 2018-07-13

    Accepted date: 2018-07-13

    Published date: 2018-06-08