MACÁK, Martin, Lukáš DAUBNER, Júlia JAMNICKÁ and Barbora BÜHNOVÁ. Game Achievement Analysis: Process Mining Approach. Online. In Advanced Data Mining and Applications. Cham: Springer International Publishing, 2022, p. 68-82. ISBN 978-3-030-95407-9. Available from: https://dx.doi.org/10.1007/978-3-030-95408-6_6.
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Basic information
Original name Game Achievement Analysis: Process Mining Approach
Authors MACÁK, Martin (703 Slovakia, guarantor, belonging to the institution), Lukáš DAUBNER (203 Czech Republic, belonging to the institution), Júlia JAMNICKÁ (703 Slovakia, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
Edition Cham, Advanced Data Mining and Applications, p. 68-82, 15 pp. 2022.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/22:00124994
Organization unit Faculty of Informatics
ISBN 978-3-030-95407-9
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-95408-6_6
UT WoS 000754476700006
Keywords in English Process mining; Game achievements; Data analysis
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/3/2023 17:05.
Abstract
Data-oriented techniques are currently standardly used in the video game domain, providing an interesting insight into the players’ behaviour. However, the game can be seen as a set of steps that are performed for its completion. Therefore, these steps form a process. Process mining is a discipline with a focus on process analysis which can help to bring additional insights to the analysts. Hence this work explores the potential of a process-oriented approach in this context. We chose the game achievement log as the dataset as it contains valuable information about the player’s steps in the game. Furthermore, it is publicly available, and therefore, anyone, not only game developers, can perform the process analysis. The dataset and the analysis source code used in this work were made publicly available.
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