Student performance analysis and prediction in classroom learning: A review of educational data mining studies

A Khan, SK Ghosh - Education and information technologies, 2021 - Springer
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Mining in educational data: review and future directions

SA Salloum, M Alshurideh, A Elnagar… - Proceedings of the …, 2020 - Springer
One of the develo** fields of the present times is educational data mining that pertains to
develo** methods that help in examining various kinds of data obtained from the …

Educational data mining: A review

SK Mohamad, Z Tasir - Procedia-Social and Behavioral Sciences, 2013 - Elsevier
Data Mining is very useful in the field of education especially when examining students'
learning behavior in online learning environment. This is due to the potential of data mining …

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

A Klašnja-Milićević, M Ivanović… - Artificial Intelligence …, 2015 - Springer
With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …

Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems

I Viktoratos, A Tsadiras, N Bassiliades - Expert systems with applications, 2018 - Elsevier
Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …

It ticket classification: The simpler, the better

A Revina, K Buza, VG Meister - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, automatic classification of IT tickets has gained notable attention due to the
increasing complexity of IT services deployed in enterprises. There are multiple discussions …

[PDF][PDF] Interestingness measures for association rules in educational data

A Merceron, K Yacef - educational data mining 2008, 2008 - researchgate.net
Educational data differs from traditional knowledge discovery domains in several ways. One
of them is the fact that it is difficult, or even impossible, to compare different methods or …

Data mining applications in university information management system development

M Zhang, J Fan, A Sharma, A Kukkar - Journal of Intelligent Systems, 2022 - degruyter.com
Nowadays, the modern management is promoted to resolve the issue of unreliable
information transmission and to provide work efficiency. The basic aim of the modern …

A social fundraising mechanism for charity crowdfunding

YM Li, JD Wu, CY Hsieh, JH Liou - Decision Support Systems, 2020 - Elsevier
In recent years, as the world has witnessed many social issues and environmental disasters,
philanthropic giving has become widespread. Today, crowdfunding platforms have also …

Detection of malicious applications on android os

F Di Cerbo, A Girardello, F Michahelles… - … Workshop, IWCF 2010 …, 2011 - Springer
The paper presents a methodology for mobile forensics analysis, to detect “malicious”(or
“malware”) applications, ie, those that deceive users hiding some of their functionalities. This …