Pattern analysis of the user behaviour in a mobile application using unsupervised machine learning
Continuously increasing amount of logged data increases the possibilities of finding new discoveries about the user interaction with the application for which the data is logged. Traces from the data may reveal some specific user behavioural patterns which can discover how to improve the development...
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Format: | Others |
Language: | English |
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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-261424 |