Forecasting of Future Academic Records Using Bayesian Network and Data Secured By Blockchain

Author(s): Sahla K.V, Afsar P

Abstract: The combination of Machine Learning and Blockchain technology in forecasting future academic record of a student. The authors forecast the future academic records of students in this study using past grade data. As a forecasting method, we use a Bayesian network. During construction of the Bayesian network forecasting model, unnecessary variables become noise and so lower the forecasting accuracy. Therefore, here used data gain to decrease the number of variables in the model to improve forecast accuracy. As a result, the accuracy was improved. The input for this study was past grade data that were recorded by using ledgers called blocks. The Blockchain was a technology in which the data are divided and converted into blocks through novel cryptography algorithms and it guarantee privacy as well as security.