D 2022

Game Achievement Analysis: Process Mining Approach

MACÁK, Martin, Lukáš DAUBNER, Júlia JAMNICKÁ and Barbora BÜHNOVÁ

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

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.