A review of enhancing online learning using graph-based data mining techniques

In recent years, graph-based data mining (GDM) is the most accepted research due to numerous applications in a broad selection of software bug localization, computational biology, practical field, computer networking, and keyword searching. Moreover, graph data are subject to suspicions because of i...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 26; číslo 12; s. 5539 - 5552
Hlavní autori:	Munshi, M., Shrimali, Tarun, Gaur, Sanjay
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022
Predmet:	Artificial Intelligence Computational Intelligence Control Data Analytics and Machine Learning Engineering Mathematical Logic and Foundations Mechatronics Robotics Cluster analysis Data mining Enhancing online learning Graph-based data mining Anomaly detection
ISSN:	1432-7643, 1433-7479
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