Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Evaluation and Analysis of CBA Referees' on-the-spot Cutting

Authors
Shi Li, Kai Yan, Jinsheng Li
Corresponding Author
Shi Li
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.32How to use a DOI?
Keywords
Referees, CBA, Error rate, Missed rate.
Abstract

Through the spot investigation and research, and watching the CBA basketball referees' on-the-spot cutting, this topic using literature method, observation method, system analysis method, mathematical statistics method and logical analysis method, combined with the self-designed "basketball referees' on-the-spot cutting assessment system(CAA)" to develop a more accurate evaluation of the indicators for the level of referees' on-the-spot cutting. Through the assessment results, to establish the referees database, then provide a more reasonable basis for the referees' promotion and make it more convincing.

Copyright
© 2018, 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 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.32How to use a DOI?
Copyright
© 2018, 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  - Shi Li
AU  - Kai Yan
AU  - Jinsheng Li
PY  - 2017/12
DA  - 2017/12
TI  - Evaluation and Analysis of CBA Referees' on-the-spot Cutting
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 184
EP  - 192
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.32
DO  - https://doi.org/10.2991/anit-17.2018.32
ID  - Li2017/12
ER  -