Objectives: This review focuses on various feature selection process, strategy, and methods
such as filter, wrapper and embedded algorithms and its advantages and disadvantages are …

Students' graduation is a very important thing in universities as a determinant of the quality
of a university. To improve the number of student graduates, a university must know the …

As more people express their thoughts on products on various online shopping platforms,
the feelings expressed in these opinions are becoming a significant source of information for …

The adaptation of machine learning techniques to educational technologies is becoming
widespread. Academic achievement improvement and prediction studies are among them …

When assessing an institution's performance, the level of academic achievement by its
students is a crucial factor. Educational Data Mining (EDM) uses ensemble models of Data …

Sažetak Education data mining (EDM) applies data mining techniques to extract insights
from educational data, enabling educators to evaluate their teaching methods and improve …

This study investigates the classification of pass/fail outcomes of students without using the
G3 characteristics, which stands for final grades. The dataset includes a variety of …

Informational tools are necessary at schools and colleges due to the sheer volume and
diversity of data they handle. Numerous scholars has emphasized towards applying …

Sentiment analysis is one of the biggest challenges for mining textual online content
generated by users. This paper concentrates on reviews and feedback from customers …

Education data mining (EDM) applies data mining techniques to extract insights from
educational data, enabling educators to evaluate their teaching methods and improve …