Study to Make an Application to Improve Blood Donation Process using Data Mining Techniques

Blood is the vital thing for human being because there is no alternative for replacing it. At the times of urgency, the availability of the blood creates problem due to which it is necessary for the presence of a system for providing the blood donors to the recipients by collecting the information about the blood donor, health status and blood group predicting continuous behaviour of healthy blood donors in blood transfusion organization. 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 analyse the blood donor database, along with his information. For retrieving the proper information from large database related to the blood donor’s data mining is used to analyse 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.