University of Twente Student Theses
Process mining applied to League of Legends to achieve performance insight by using API data extraction
Vafi, M.A. (2021) Process mining applied to League of Legends to achieve performance insight by using API data extraction.
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| Abstract: | eSports is an industry which has been growing significantly over the last decade. Specifically League of Legends contains a large eSports scene. eSports teams work to optimise the performance of their players. Performance optimisation can be achieved by analysing which in-game operations yield in the highest chances of victory. A tool was constructed which identifies such favourable operations concerning in-game objectives. A player's account is used as input for the tool. The tool's code uses process mining techniques to automatically retrieve data from an online API source, analyses them, and visualises the results. The dashboard of the tool shows the probability of success for each objective. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/88231 |
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