Clustering of online learning resources via minimum spanning tree

Purpose - The quick growth of web-based and mobile e-learning applications such as massive open online courses have created a large volume of online learning resources. Confronting such a large amount of learning data, it is important to develop effective clustering approaches for user group modelin...

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Autors principals:	Qingyuan Wu, Changchen Zhan, Fu Lee Wang, Siyang Wang, Zeping Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	Emerald Publishing 2016-09-01
Col·lecció:	AAOU Journal
Matèries:	clustering e-learning density based minimum spanning tree online learning resources
Accés en línia:	https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-09-2016-0036/full/pdf?title=clustering-of-online-learning-resources-via-minimum-spanning-tree
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