Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …

Customers now find it difficult to choose the best gadget due to the quick spread of
smartphones and the variety of models that are accessible. Machine learning algorithms …

The prediction of asteroid risk is a crucial topic in the realm of space technology. The
utilization of machine learning techniques has enabled the identification of asteroids in …

Predicting students performance efficiently became one of the most interesting research
topics. Efficiently mining the educational data is the cornerstone and the first step to make …

Recent years have seen significant developments in language translation technology, which
has made it possible to communicate with people all over the world in a seamless manner …

Outcome-based Education (OBE) is a student-centered strategy that focuses on students'
performance in terms of knowledge, skills, and attitude to address academic gaps …

Educational organizations consistently attempt to investigate students' behaviors in learning
and give early predictions for intervening and improving their learning performance …

This research explores the integration of Principal Component Analysis (PCA) with Support
Vector Machine (SVM) classification to identify the key factors influencing customer …

The matching process of students to their elective master's programs, based on a concrete
study case of a faculty, is made from scratch every year and does not consider the history of …