The use of end-to-end data mining methodologies such as CRISP-DM, KDD process, and
SEMMA has grown substantially over the past decade. However, little is known as to how …

Data mining techniques have gained widespread adoption over the past decades,
particularly in the financial services domain. To achieve sustained benefits from these …

This paper reports research work related to a wider study, aimed at developing a mobile app
for Science Education in primary-school. Several studies reveal that Science Education can …

In this research, a meta-analysis study was conducted to determine the effect of student and
teacher-centered practices in science lessons on students' scientific process skills. To this …

The rapid changes caused by the pandemic worldwide has affected every sphere of our
lives and accelerated the digitalization process. With the constant increase in the computing …

The implementation of data mining projects in complex organisations requires well-defined
processes. Standard data mining processes, such as CRISP-DM, have gained broad …

Educational sector produces data in large amount that is too voluminous and complex to
understand. There is a need to efficiently filter and prioritize the data so as to deliver the …

The research work reported in this article is part of a wider study aimed at developing a
mobile application (app) for Science Education in primary school. For that, we designed a …

The term data mining refers to the practice of effectively extracting beneficial data from a
large amount of data. Predicting a student's academic performance is the most complex and …

Educational failure is prevalent. The surge in the number of students who quit school has
multiple root factors. The inability to succeed academically is a primary factor in why …