Diabetes Data Prediction Using Spark and Analysis in Hue Over Big Data

This paper deals in diabetes prediction by applying relevant data mining technique. The goal of data mining is knowledge extraction from the information that is stored in the dataset and also analyzing patterns. In the civilization there are number of health problems facing by the people and are not aware of the symptoms about why the sickness occurs. One of the health problems is the Diabetic Mellitus. The majority of the population is in front of with Diabetes. Now a day's people at younger age are also suffering with this problem. In this paper, we have used predictive analysis in HUE to foresee the diseases compose persistent and particulars related with it and the sort of behavior to be given. The dataset is collected from the Pima Indian database. This framework along with SVM Classification gives an effective method to count the number of persons who are suffering with diabetes.