Analyzing and Exploring the Impact of Big Data Analytics in Sports Sector

Big data are the first-ever use of data and statistics enabling us to make effective decisions in professional sports. The primary focus of the research paper is to evaluate how the use of big data has benefited sports. The research work conducted in the paper focuses on extracting information from...

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Vydané v:	SN computer science Ročník 2; číslo 3; s. 184
Hlavní autori:	Kaur, Amandeep, Kaur, Ramandeep, Jagdev, Gagandeep
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Singapore 01.05.2021 Springer Nature B.V
Predmet:	Accuracy Algorithms Applications of Cloud Computing Big Data Computer Imaging Computer Science Computer Systems Organization and Communication Networks Cricket Data analysis Data Analytics and Building Secure Networks Data mining Data Structures and Information Theory Decision trees Flow charts Graphical representations Information Systems and Communication Service Machine learning Original Research Pattern Recognition and Graphics Programming languages Python Queries Scripts Sentiment analysis Software Engineering/Programming and Operating Systems Sports Support vector machines Teams User requirements Vision Wearable computers Workflow Sentiment analysis Batsman Hadoop Big data Bowler Data mining Sports
ISSN:	2662-995X, 2661-8907
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