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