Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference (Paperback, 1st ed. 2022)


This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.

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Product Description

This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Advances in Intelligent Systems and Computing, 1426

Release date

April 2022

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2022

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

184

Edition

1st ed. 2022

ISBN-13

978-3-03-099332-0

Barcode

9783030993320

Categories

LSN

3-03-099332-9



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