Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques

A Abu Saa, M Al-Emran, K Shaalan - Technology, Knowledge and …, 2019 - Springer
Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

[PDF][PDF] Application of big data in education data mining and learning analytics–a literature review

K Sin, L Muthu - ICTACT journal on soft computing, 2015 - academia.edu
The usage of learning management systems in education has been increasing in the last
few years. Students have started using mobile phones, primarily smart phones that have …

Predicting academic performance of students from VLE big data using deep learning models

H Waheed, SU Hassan, NR Aljohani, J Hardman… - Computers in Human …, 2020 - Elsevier
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Prediction of benign and malignant breast cancer using data mining techniques

V Chaurasia, S Pal, BB Tiwari - Journal of Algorithms & …, 2018 - journals.sagepub.com
Breast cancer is the second most leading cancer occurring in women compared to all other
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …

Predicting student performance using advanced learning analytics

A Daud, NR Aljohani, RA Abbasi, MD Lytras… - Proceedings of the 26th …, 2017 - dl.acm.org
Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as
interesting areas of research, which are unfolding useful knowledge from educational …

[PDF][PDF] Educational data mining & students' performance prediction

AA Saa - … journal of advanced computer science and …, 2016 - pdfs.semanticscholar.org
It is important to study and analyse educational data especially students' performance.
Educational Data Mining (EDM) is the field of study concerned with mining educational data …

[PDF][PDF] Heart diseases detection using Naive Bayes algorithm

K Vembandasamy, R Sasipriya, E Deepa - International Journal of …, 2015 - ijiset.com
Health care is an inevitable task to be done in human life. Health concern business has
become a notable field in the wide spread area of medical science. Health care industry …

Systematic ensemble model selection approach for educational data mining

MN Injadat, A Moubayed, AB Nassif, A Shami - Knowledge-Based Systems, 2020 - Elsevier
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …

Data mining: A prediction for performance improvement of engineering students using classification

SK Yadav, S Pal - arXiv preprint arXiv:1203.3832, 2012 - arxiv.org
Now-a-days the amount of data stored in educational database increasing rapidly. These
databases contain hidden information for improvement of students' performance …

Analysis of educational data mining using classification

C Jalota, R Agrawal - … on Machine Learning, Big Data, Cloud …, 2019 - ieeexplore.ieee.org
Higher education institutions are often very curious to know about the success rate of the
students throughout their study. For this reason, they need to use several methods like …