Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

Research and Analysis of Game Tactics Based on Data Mining Technology

Authors
Zhou Li
Corresponding Author
Zhou Li
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.59How to use a DOI?
Keywords
Data Mining; Sports Competition; Tactical Analysis; Temporal and Spatial Relations
Abstract

Data mining is a technique that uses machine learning and statistical learning to discover potential rules from data. In view of the existing problems in sports competitions, the application principles of data mining technology in sports competitions are discussed, in this thesis work a system is designed which enables a coach to evaluate tactic by enabling him to express a tactical pattern and by visualizing the results. A prototype of the system is implemented to evaluate the design of the system. Data mining technology will guide the scientific development of sports competition, and will have broad application space.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/icmmcce-17.2017.59
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.59How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhou Li
PY  - 2017/09
DA  - 2017/09
TI  - Research and Analysis of Game Tactics Based on Data Mining Technology
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 280
EP  - 284
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.59
DO  - 10.2991/icmmcce-17.2017.59
ID  - Li2017/09
ER  -