Predicting the Number of Blood Donors through their Age and Blood Group by using Data Mining Tool

The growing demand in the blood bank sector makes it necessary to exploit the whole potential of stored data efficiently. Data mining can contribute with important benefits to the blood bank sector, it can be a fundamental tool to analyze the data gathered by blood banks through their information systems. In this paper an attempt has been made to classify and predict the number of blood donors according to their age and blood group. J48 algorithm and Weka tool have been used for the complete research work.