Educational data generated through various platforms such as e-learning, e-admission
systems, and automated result management systems can be effectively processed through …

The use of machine learning, which is one of the implementations in the field of artificial
intelligence, has penetrated into various fields, including education. By using a combination …

Educational data mining has gained impressive attention in recent years. The primary focus
of educational institutions is to provide quality education for students to enhance academic …

Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …

A gradual increase in the historical data available in the legal domain over the years has
compelled industry experts to collect, assemble, and analyze this data to predict judicial …

University electronic learning (e-learning) has witnessed phenomenal growth, especially in
2020, due to the COVID-19 pandemic. This type of education is significant because it …

Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …

Educational data mining helps the educational institutions to perform effectively and
efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students …

Penelitian ini bertujuan untuk mengembangkan metode klasifikasi citra genus panthera
menggunakan pendekatan deep learning berbasis Convolutional Neural network (CNN) …

The academic intervention to predict at-risk higher education (HE) students requires
effective data model development. Such data modelling projects in the HE context may have …