A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities
Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …
process of finding the relationships between events is called correlation, which creates a …
[PDF][PDF] A Review of Data Mining in Education Sector
SM Dol, PM Jawandhiya - Journal of Engineering Education …, 2023 - journaleet.in
Educational Data Mining (EDM) is one of the trending areas in which various researchers
are working for the betterment of the student's performance. Predicting the students' …
are working for the betterment of the student's performance. Predicting the students' …
Event evolution model for cybersecurity event mining in tweet streams
X Liu, J Fu, Y Chen - Information Sciences, 2020 - Elsevier
The rich source of online reports and discussions on social media can be leveraged to
investigate the widespread cyber-attacks. In this paper, we study the problem of …
investigate the widespread cyber-attacks. In this paper, we study the problem of …
[HTML][HTML] Data mining-based decision support system for educational decision makers: Extracting rules to enhance academic efficiency
The exponential growth of data in the field of education has created a pressing demand for a
robust system capable of analyzing this vast amount of information, empowering decision …
robust system capable of analyzing this vast amount of information, empowering decision …
Методы интеллектуального анализа системных событий для обнаружения многошаговых кибератак: использование методов машинного обучения
ИВ Котенко, ДА Левшун - Искусственный интеллект и принятие …, 2023 - elibrary.ru
В данном исследовании представлена классификация и сравнительный анализ
методов интеллектуального анализа системных событий, применяемых для …
методов интеллектуального анализа системных событий, применяемых для …
Identification of changes in VLE stakeholders' behavior over time using frequent patterns mining
Many contemporary studies realized in the Learning Analytics research field provide
substantial insights into the virtual learning environment stakeholders' behaviour on single …
substantial insights into the virtual learning environment stakeholders' behaviour on single …
Implementation of Sequential Pattern Discovery using Equivalent classes (SPADE) on MONSAKUN Media for Exploring and Digging for Information on German …
The use of technology is often used to support the learning process, one of which is the
German Learning language learning media. The use of learning media in the actions of the …
German Learning language learning media. The use of learning media in the actions of the …
Discovering Utility-driven Interval Rules
C Zhang, M Lyu, H Hao, W Gan, PS Yu - arXiv preprint arXiv:2309.16102, 2023 - arxiv.org
For artificial intelligence, high-utility sequential rule mining (HUSRM) is a knowledge
discovery method that can reveal the associations between events in the sequences …
discovery method that can reveal the associations between events in the sequences …
Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students
SM Dol, PM Jawandhiya - Journal of The Institution of Engineers (India) …, 2024 - Springer
In education sector, two main tasks are—Analysis of students' data and predicting their
performance as it may leads to their great future. Analyzing the data obtained from …
performance as it may leads to their great future. Analyzing the data obtained from …
[PDF][PDF] Expanding tree-based classifiers using meta-algorithm approach: An application for identifying students' cognitive level
Y Yamasari, S Mardi, S Nugroho, K Yoshimoto… - Int. J. Innov. Comput, 2019 - ijicic.org
Accurate identification of student cognitive levels is a crucial problem for a teacher in
deciding the appropriate method for a teaching and learning process. Nevertheless, not …
deciding the appropriate method for a teaching and learning process. Nevertheless, not …