User Sessions Clustering and Anomaly Detection – Bc. Michal Mokroš
Bc. Michal Mokroš
Master's thesis
User Sessions Clustering and Anomaly Detection
User Sessions Clustering and Anomaly Detection
Abstract:
Nahrávky správania používateľov pomáhajú spoločnostiam lepšie porozumieť interakcii užívateľov s ich produktami. Ako sa počet zákazníkov zväčšuje, monitorovanie a kontrola nahrávok sa stáva viac komplexnejšou úlohou. Zhlukovanie (clustering) ponúka riešenie vo forme zoskupovania podobných nahrávok na základe spoločných vlastností do oddelených zhlukov a detekciu odchýliek (outliers), ktoré sú kľúčové …moreAbstract:
User behavior recordings help companies better understand how users interact with their products. As the number of customers increases, it is a complex task for employees to monitor and review all sessions. Clustering provides a solution in the form of grouping similar sessions based on the joint properties into separate clusters while also detecting outliers, which are crucial and can be overlooked …more
Language used: English
Date on which the thesis was submitted / produced: 17. 5. 2022
Identifier:
https://is.muni.cz/th/wtf6t/
Thesis defence
- Date of defence: 24. 6. 2022
- Supervisor: PhD Bruno Rossi
- Reader: doc. Mouzhi Ge, Ph.D.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Software systems and services management / Software Systems Development Management
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