• DocumentCode
    724592
  • Title

    Open Source Data Mining tools

  • Author

    Al-Odan, Hussah A. ; Al-Daraiseh, Ahmad A.

  • Author_Institution
    King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2015
  • fDate
    25-27 March 2015
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    Data Mining is one of the most widely used techniques in the realm of data exploration and trend identification. Although commercial Data Mining tools are very powerful and produce satisfactory results, the number of free and open source software tools is on the rise, some of them have started to compete vigorously with the commercial enterprise-level rivals. For small to medium enterprises, selecting a suitable Data Mining tool can be an overwhelming task with such a variety. In this paper, five of the most popular free and open source software tools were comprehensively studied, and compared on a side-by-side manner on both user´s acceptance and technical specifications level. Results from both evaluations are analyzed, and the paper concludes by contrasting on the advantages and disadvantages of each tool.
  • Keywords
    data mining; public domain software; software tools; data exploration; open source data mining tools; open source software tools; trend identification; Data mining; Documentation; Information technology; Licenses; Manuals; Usability; Comparison; FOSS; KNIME; Orange; RStudio; RapidMiner; SMBs; Weka; data mining tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Information Technologies (ICEIT), 2015 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-7478-8
  • Type

    conf

  • DOI
    10.1109/EITech.2015.7162956
  • Filename
    7162956