Description

Blood is the vital thing for human being becausethere is no alternative for replacing it. This makes it necessary for the presence of a system for predicting continuous behavior of healthy blood donors in blood transfusion organization. The aim of predicting behaviorof donor’s is to determine and collect proper information about the blood donor, his health status and blood groups for providing future continuity to blood bank. As the Urgent need of blood is rapidly growing it is desire need to find the blood donor information properly and efficiently. It is becoming more and more difficult to extract the information using the conventional database techniques. So, in this paper we proposed the solution for properly mining the proper and required donor information from large amount of blood donor’s database. It is necessary to analyze the blood donor database, along with his information from blood banks as it is useful when urgent need occurs. For retrieving the proper information from large database related to the blood donor’s data mining is used to analyze their availability, number of donors and all related information. There are various different techniques and algorithms present in data mining like classification, clustering, association, etc. which suits better for desired task.