Mine Blood Donors Information Through Fuzzy Neural Network Algorithm

The growing demand within the bank sector makes it necessary to use the complete potential of hold on knowledge with efficiency. Data processing will contribute with necessary edges to the bank sector; it is often an elementary tool to research the info gathered by blood banks through their information systems. During this paper an endeavor has been created to classify and predict the amount of blood donors in line with their age and cluster blood type people. J48 algorithmic rule and weka tool are used for the entire analysis work. weka tool are used for the entire analysis work the projected analysis work for bank sector notice the people and donor details (name, blood group, age) there we have a tendency to mistreatment classification and clump algorithmic rule k means and pca and that we projected the neurofuzzy classification algorithmic rule is show the high economical classification compared to different classification. The projected algorithmic rule is high accuracy and low price, period. finding the behavior and attitude for blood donor.