IoT Based Decision Making System to Improve Veracity of Big Data

  • Authors

    • R Revathy
    • R Aroul Canessane
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.16799
  • Internet of Things, Big Data, Veracity and Data Processing.

  • Abstract

    Data are vital to help decision making. On the off chance that data have low veracity, choices are not liable to be sound. Internet of Things (IoT) quality rates big data with error, irregularity, deficiency, trickery, and model guess. Improving data veracity is critical to address these difficulties. In this article, we condense the key qualities and difficulties of IoT, which impact data handling and decision making. We audit the scene of estimating and upgrading data veracity and mining indeterminate data streams. Also, we propose five suggestions for future advancement of veracious big IoT data investigation that are identified with the heterogeneous and appropriated nature of IoT data, self-governing basic leadership, setting mindful and area streamlined philosophies, data cleaning and handling procedures for IoT edge gadgets, and protection safeguarding, customized, and secure data administration.

     

     

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  • How to Cite

    Revathy, R., & Aroul Canessane, R. (2018). IoT Based Decision Making System to Improve Veracity of Big Data. International Journal of Engineering & Technology, 7(3.1), 63-65. https://doi.org/10.14419/ijet.v7i3.1.16799

    Received date: 2018-08-04

    Accepted date: 2018-08-04

    Published date: 2018-08-04