Information Engineering with E-Learning Datasets

The rapid growth of the E-learning industry necessitates a streamlined process for identifying actionable information in the user databases maintained by E-learning companies. This paper applies several traditional mathematical and some machine learning techniques to one such dataset with the goal o...

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Bibliographic Details
Main Author: Gerick, Steven Anthony
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2019
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265008