Computational efficiency in sports talent identification - a systematic review

Q3 Economics, Econometrics and Finance International Journal of Applied Decision Sciences Pub Date : 2023-01-01 DOI:10.1504/ijads.2023.130600
Naveed Jeelani Khan, Gulfam Ahamad, Mohd. Naseem, Shahab Saquib Sohail
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体育人才识别中的计算效率——系统综述
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来源期刊
International Journal of Applied Decision Sciences
International Journal of Applied Decision Sciences Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
61
期刊介绍: IJADS is a double-blind refereed international journal whose focus is to promote the infusion of the functional and behavioural areas of business with the concepts and methodologies of the decision sciences and information systems. IJADS distinguishes itself as a business journal with an explicit focus on modelling and applied decision-making. The thrust of IJADS is to provide practical guidance to decision makers and practicing managers by publishing papers that bridge the gap between theory and practice of decision sciences and information systems in business, industry, government and academia. Papers published in the journal must contain some link to practice through realistically detailed examples or real applications.
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