• DocumentCode
    69002
  • Title

    Embedded Analytics and Statistics for Big Data

  • Author

    Louridas, Panos ; Ebert, C.

  • Volume
    30
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov.-Dec. 2013
  • Firstpage
    33
  • Lastpage
    39
  • Abstract
    Embedded analytics and statistics for big data have emerged as an important topic across industries. As the volumes of data have increased, software engineers are called to support data analysis and applying some kind of statistics to them. This article provides an overview of tools and libraries for embedded data analytics and statistics, both stand-alone software packages and programming languages with statistical capabilities.
  • Keywords
    data analysis; embedded systems; high level languages; software packages; statistical analysis; big data; data volume; embedded data analytics tools; libraries; programming language; stand-alone software package; statistical capability; statistics; Big Data; Data handling; Embedded systems; Information management; Linux; Programming; big data; embedded analytics; software technology; statistics;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2013.125
  • Filename
    6648585
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=69002