Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing

The classification algorithms are applied on educational data set for predicting work integrated learning placement based on student performance.. J48, Bayes Net, Naive Bayes,

This paper presents an algorithm for prediction of academic performance of students by fuzzy data mining.. The fuzzy-trace concept applied to predict the academic performance of

In this study, a hybrid models were proposed for Student’s Academic Performance Prediction Using Factor Analysis Based Neural Network, When we manipulate high dimensional

Index Terms: AdaBoost, AdaBoostM2, Classification techniques, Data mining, Differential Evolution, prediction model, Student Performance.. ——————————

The study focused on the development of a model for the prediction of academic performance of first year students in higher education using SHS background, entrance

This research aims to examine the accuracy rate of the student performance prediction system, which is designed using the concept of data mining with a machine

(2018) Prediction of wind turbine generator bearing failure through analysis of high frequency vibration data and the application of support vector machine algorithms..

In this article, we are presenting the various data mining techniques related to the students‟ failure prediction and we can improve the performance of the students‟