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A development environment for predictive modelling in foods.

G Holmes·M A Hall
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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. Applications 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.

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AlgorithmsComputer SimulationFood MicrobiologyHumansModels, BiologicalSoftwareUser-Computer InterfaceJournal ArticleResearch Support, Non-U.S. Gov't

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G Holmes, M A Hall. 2002. A development environment for predictive modelling in foods.. https://doi.org/10.1016/s0168-1605(01)00671-7

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