Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …

Predicting classifiers can be used to analyze data in K-12 education. Creating a
classification model to accurately identify factors affecting student performance can be …

Data mining techniques is rapidly increasing in the research of educational domains.
Educational data mining aims to discover hidden knowledge and patterns about student …

This work explores student's academic performance using decision tree algorithm having
parameters like Student's Academic Information and Students Activity. We collected records …

El objetivo de este artículo es predecir el rendimiento académico de estudiantes de
educación superior, a partir de diversos factores influyentes usando técnicas de inteligencia …

Fake news is a big problem in every society. Fake news must be detected and its sharing
should be stopped before it causes further damage to the country. Spotting fake news is …

In the area of machine learning and data science, decision tree learning is considered as
one of the most popular classification techniques. Therefore, a decision tree algorithm …