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Performance Analysis of Healthy Diet Recommendation System using Web Data Mining

N. Nirmaladevi, R. Suresh Kumar

Abstract


Medical study has revealed that people set a bigger possibility of countering free radicals and warding off illness by consumption of healthy foods and by increasing their resistant system. Due to the poor eating habits people suffer from many diseases. In the current scenario fast food become important food in daily routine because it is effortlessly available but taking fast food in routine may cause for disease like heart attack, diabetics etc. Healthier diets help us to maintain our health and keep us away from many diseases. For better recovery from diseases or surgery etc individual have special needs according to their medical profile, cultural backgrounds and nutrient requirements. Design and implementation of healthy diet recommendation system is based on web data mining which is t he application of data mining technique help us to determine pattern from web. In terms of accuracy and time performance analysis of recommendation system using two decision tree learning algorithm.


Keywords


Data Collection Data Preprocessing Information Filtering

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References


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