Detailed Information on Publication Record
2022
Game Achievement Analysis: Process Mining Approach
MACÁK, Martin, Lukáš DAUBNER, Júlia JAMNICKÁ and Barbora BÜHNOVÁBasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
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
UT WoS
000754476700006
Keywords in English
Process mining; Game achievements; Data analysis
Tags
International impact, Reviewed
Změněno: 27/3/2023 17:05, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.