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
Link To Document :
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