Automated Menu Planning Algorithm for Children: Food Recommendation by Dietary Management System using ID3 for Indian Food Database

被引：8

作者：

Kale, Ashvini ^{[1
]}

Auti, Nisha ^{[1
]}

机构：

[1] Symbiosis Int Univ, Pune 412115, Maharashtra, India

来源：

BIG DATA, CLOUD AND COMPUTING CHALLENGES | 2015年 / 50卷

关键词：

BMI; BMR; Entropy; Information Gain; Nutrition; Calories;

D O I：

10.1016/j.procs.2015.04.070

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Adequate nutrition is essential in early childhood for the proper body growth and organ formation, to have a strong immune system, cognitive and neurological development. Children in India are mostly suffered from malnutrition. It happens because most of the mothers don't have proper knowledge about nutrition facts, which is to be feed to her child. To give proper diet to children as per their profile, Dietary Management System using ID3 is proposed. In this paper, ID3 is implemented with an example of Beverages using Weka tool and proposed work will be implemented in JAVA. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

引用

页码：197 / 202

页数：6

共 13 条

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