Analysis of Healthy Diet Recommendation using various Algorithms in Web Data Mining

Abstract

Medical study has shown that people set a huge possibility of countering free radicals and warding off illness by consumption of healthy foods and by enhancing their resistant system. People suffer from many diseases due to the poor eating habits. In the present scenario fast food is one of the daily diet because it is easy and readily available which by consumption of this food taking fast food in routine may cause for health issues like heart accidents, sugar etc. Healthier diets help us to maintain our health and keep us away from many health issues. For better recovery from health issues or surgery etc identical have special needs according to their medical status, cultural backgrounds and nutrient requirements. The objective of this paper is to apply and develop the data mining implementation in medical field. Design and implementation of healthy diet recommendation system is based on web data mining which is the application of data mining technique help us to decide pattern from web. In terms of exactly and time performance measurement  of recommendation system using two decision tree learning algorithm ID3 and C4.5 and apply it on   good healthy diet application.