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Authors: David Bednárek ; Martin Krulis ; Jakub Yaghob and Filip Zavoral

Affiliation: Charles University, Czech Republic

ISBN: 978-989-758-255-4

Keyword(s): e-sport, Data Analysis, Data Integration, Data Quality, Player Rating.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; Data Engineering ; Data Integrity ; Data Management and Quality ; Data Management for Analytics ; Databases and Data Security ; e-Business ; Enterprise Information Systems ; Information and Systems Security ; Information Integration ; Information Quality ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Organizational Concepts and Best Practices ; Symbolic Systems

Abstract: Electronic sports or pro gaming have become very popular in this millenium and the increased value of this new industry is attracting investors with various interests. One of these interest is game betting, which requires player and team rating, game result predictions, and fraud detection techniques. In our work, we focus on preprocessing data of Counter-Strike: Global Offensive game in order to employ subsequent data analysis methods for quantifying player performance. The data preprocessing is difficult since the data format is complex and undocumented, the data quality of available sources is low, and there is no direct way how to match players from the recorded files with players listed on public boards such as HLTV website. We have summarized our experience from the data preprocessing and provide a way how to establish a player matching based on their metadata.

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Paper citation in several formats:
Bednárek, D.; Krulis, M.; Yaghob, J. and Zavoral, F. (2017). Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 269-276. DOI: 10.5220/0006475002690276

@conference{data17,
author={David Bednárek. and Martin Krulis. and Jakub Yaghob. and Filip Zavoral.},
title={Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006475002690276},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive
SN - 978-989-758-255-4
AU - Bednárek, D.
AU - Krulis, M.
AU - Yaghob, J.
AU - Zavoral, F.
PY - 2017
SP - 269
EP - 276
DO - 10.5220/0006475002690276

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