Ensemble learning (EL), an alternative approach in the machine-learning field, offers an
accurate reference evapotranspiration (ETo) prediction, which is of paramount significance …

The big problem of retired or drop out students is about academic achievement. The
educational institution needs to follow up the advising system since advisers should guide …

With the continuous development of “Internet+ Education”, online learning has become a hot
topic of concern. Decision tree is an important technique for solving classification problems …

Much research has sought to provide a flow experience for students in gamified educational
systems to increase motivation and engagement. However, there is still a lack of quantitative …

Decision tree is the most efficient and fast technology of data mining that is frequently used
in data analysis and prediction. According to the development in science and technology in …

ID3 decision tree algorithm is a supervised learning model based on calculating the
information gain to select the best splitting attribute, which is the main factor to construct a …

Learning data feedback and analysis have been widely investigated in all aspects of
education, especially for large scale remote learning scenario like Massive Open Online …

The enormous issue of drop-out students or resigned is regarding scholarly
accomplishment. The academic organization wants to catch up the prompting framework …

Nowadays, Education Data Mining is the business domain to help the quality of institute.
This paper proposed Association Rule Mining (ARM) to discover the interesting patterns …

Los exámenes de ingreso administrados por las instituciones educativas son uno de los
principales desafíos que enfrentan los estudiantes que desean continuar su educación …