In this paper, we try to explain how to formulate the derivation of the Naive Bayes concept
and apply it to a simple case. This is because usually users only use existing formulas or …

Student performance prediction is a primary goal for educational institutions to improve
future performance of students. Early prediction of student's future performance is critical and …

Machine learning offers a variety of techniques for use in diverse fields. Massive quantities
of student data are produced in educational institutions, and machine-learning techniques …

The student study period is one of the factors that show a student's academic performance.
Universities are required to be able to keep students able to complete their studies on time …

Educational data mining involves finding patterns in educational data which can be obtained
from various e-learning systems or can be gathered using traditional surveys. In this paper …

Data Mining has adopted by many areas like education, telecommunication, retail
management etc. to resolve their business problems. Due to features likes classification …

Recently, the analysis of educational data has become important to all universities. Rajabhat
Rajanagarindra University, Thailand, wanted to study and analyze the students' …

In recent years, predicting student's academic performance is the main objective of all
educational institutions. Numerous research works show that machine learning can be a …

In recent years, schools have shown interest in utilizing data mining to improve the quality of
education. To enhance academic performance, accurately predicting how students will …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …