Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but
efficient algorithm with a wide variety of real-world applications, ranging from product …

Data mining offers strong techniques for different sectors involving education. In the
education field the research is develo** rapidly increasing due to huge number of …

In several areas, including education, the use of machine learning, such as artificial neural
networks, has resulted in significant improvements in predicting tasks. The opacity of these …

Abstract Educational Data Mining is widely used for predicting student's performance. It'sa
challenging task because a plethora of features related to demographics, personality traits …

The rapid advancement of artificial intelligence has been intensely employed in art teaching
and learning. Including the advancement of smart technologies, there are various difficulties …

Background Dropout and poor academic performance are persistent problems in medical
schools in emerging economies. Identifying at-risk students early and knowing the factors …

La analítica de datos es un campo nuevo que ha permeado la educación superior mediante
la incursión de herramientas matemáticas, la estadística, la minería de datos y el …

In recent years, predicting heart disease has become one of the most demanding tasks in
medicine. In modern times, one person dies from heart disease every minute. Within the field …

Predicting students' academic performance is of great concern for both students and
educational institutions. Drawing on the prediction of learning outcome, lecturers and …

Data Mining is a multidisciplinary analyzing process that concentrating to extract and
discover useful knowledge from data and information. The field of high education …