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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Format: | Others |
Language: | English |
Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265008 |