Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

To choose the right vehicle according to the needs and funds owned by consumers, requires
a careful analysis that takes into account many criteria and factors. The criteria used as a …

Feature selection is a procedure in machine learning to find a subset of features that help to
know the most important features of the data set for model construction. It removes irrelevant …

Student's performance prediction is essential to be conducted for a university to prevent
student fail. Number of student drop out is one of parameter that can be used to measure …

Student's academic performance is the main focus of all educational institutions. Educational
Data Mining (EDM) is an emerging research area help the educational institutions to …

Cardiovascular diseases are one of the main causes of death among individuals over the
last decade. Early diagnosis and recognizing of warning signs of this disease facilitate …

Student performance prediction helps the educational stakeholders to take proactive
decisions and make interventions, for the improvement of quality of education and to meet …

Educators seek to harness knowledge from educational corpora to improve student
performance outcomes. Although prior studies have compared the efficacy of data mining …

In this paper, a proposed career recommender system was presented which aim to help not
only the guidance counselor but most especially the senior high school students to guide …

Student academic accomplishment is the foremost focus of every educational institution. In
developing student achievement in educational institutions, the researchers finally created a …