• Title of article

    A development environment for predictive modelling in foods

  • Author/Authors

    Holmes، نويسنده , , G. and Hall، نويسنده , , M.A.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2002
  • Pages
    12
  • From page
    351
  • To page
    362
  • Abstract
    Waikato Environment for Knowledge Analysis (WEKA) is a comprehensive suite of Java class libraries that implement many state-of-the-art machine learning/data mining algorithms. Non-programmers interact with the software via a user interface component called the Knowledge Explorer. ations constructed from the WEKA class libraries can be run on any computer with a web-browsing capability, allowing users to apply machine learning techniques to their own data regardless of computer platform. This paper describes the user interface component of the WEKA system in reference to previous applications in the predictive modelling of foods.
  • Keywords
    Classification , Inductive modelling software , Regression
  • Journal title
    International Journal of Food Microbiology
  • Serial Year
    2002
  • Journal title
    International Journal of Food Microbiology
  • Record number

    2109582