Clustering of online learning resources via minimum spanning tree

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...

Full description

Bibliographic Details
Main Authors: Qingyuan Wu, Changchen Zhan, Fu Lee Wang, Siyang Wang, Zeping Tang
Format: Article
Language:English
Published: Emerald Publishing 2016-09-01
Series:AAOU Journal
Subjects:
clustering
e-learning
density based
minimum spanning tree
online learning resources
Online Access: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

Internet

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

Similar Items