A hybrid approach using Naïve Bayes and Genetic Algorithm for childhood obesity prediction

Abstract

Naïve Bayes is a data mining technique that has been used by many researchers for predictions in various domains. This paper presents a framework of a hybrid approach using Naïve Bayes for prediction and Genetic Algorithm for parameter optimization. This framework is a solution applied to the childhood obesity prediction problem that has a… (More)

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@article{Adnan2012AHA, title={A hybrid approach using Naïve Bayes and Genetic Algorithm for childhood obesity prediction}, author={Muhamad Hariz B. Muhamad Adnan and Waleed Husain and Nur'Aini Abdul Rashid}, journal={2012 International Conference on Computer & Information Science (ICCIS)}, year={2012}, volume={1}, pages={281-285} }