Big data analytics: A review on theoretical contributions and tools used in literature

P Grover, AK Kar - Global Journal of Flexible Systems Management, 2017 - Springer
The importance of data science and big data analytics is growing very fast as organizations
are gearing up to leverage their information assets to gain competitive advantage. The …

[Retracted] Teaching Mode Based on Educational Big Data Mining and Digital Twins

X Zhou, X Wu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Data mining technology has gradually become an important data analysis and knowledge
discovery technology widely used in many modern industries. Data mining is a technique to …

[PDF][PDF] Building predictive model by using data mining and feature selection techniques on academic dataset

M Kumar, B Sharma, D Handa - International Journal of Modern …, 2022 - academia.edu
In the field of education, every institution stores a significant amount of data in digital form on
the academic performance of students. If this data is correctly analysed to discover any …

Educational data mining using cluster analysis methods and decision trees based on log mining

SN Safitri, H Setiadi, E Suryani - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
Abstract Educational Data Mining (EDM) often appears to be applied in big data processing
in the education sector. One of the educational data that can be further processed with EDM …

Multi-criteria valuation of flexibility initiatives using integrated TISM–IRP with a big data framework

Sushil - Production Planning & Control, 2017 - Taylor & Francis
Valuation of flexibility initiatives is important for choosing the affordable and high value
creating initiatives. It involves both the consideration of benefits and costs associated with …

[PDF][PDF] Data mining for student advising

H Alhakami, T Alsubait… - International Journal of …, 2020 - pdfs.semanticscholar.org
This paper illustrates how to use data mining techniques to help in advising students and
predicting their academic performance. Data mining is used to get previously unknown …

Cluster-based distributed architecture for prediction of student's performance in higher education

L Ramanathan, G Parthasarathy, K Vijayakumar… - Cluster …, 2019 - Springer
Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …

A technology-enabled assessment and attainment of desirable competencies

AA Jadhav, DA Suryawanshi, SS Ahankari… - Education for Chemical …, 2022 - Elsevier
Engineering is an exciting field, offering exceptional career opportunities. Still, the success
of an engineering graduate depends upon their knowledge, skills, and attitude. Accreditation …

[PDF][PDF] Performance analysis of students using machine learning & data mining approach

M Kumar, AJ Singh, D Handa - International Journal of Engineering …, 2019 - academia.edu
Performance evaluation of students is essential to check the feasibility of improvement.
Regular evaluation not only improves the performance of the student but also it helps in …

[PDF][PDF] The application of accreditation standards institutional Iraqi in Iraqi universities using Deming cycle (PDSA)" an applied study in The Colleges of Sumer …

H Sayah, A Khaleel - Proceedings on Engineering, 2022 - researchgate.net
The aim of this study was to reveal the role of the Deming Cycle in the application of Iraqi
institutional accreditation standards in colleges of Sumer University-Iraq. The study adopted …