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Cricket performance management: mathematical formulation and analytics

This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popu...

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Detalles Bibliográficos
Autores principales: Saikia, Hemanta, Bhattacharjee, Dibyojyoti, Mukherjee, Diganta
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-15-1354-1
http://cds.cern.ch/record/2704096
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author Saikia, Hemanta
Bhattacharjee, Dibyojyoti
Mukherjee, Diganta
author_facet Saikia, Hemanta
Bhattacharjee, Dibyojyoti
Mukherjee, Diganta
author_sort Saikia, Hemanta
collection CERN
description This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.
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spelling cern-27040962021-04-21T18:14:31Zdoi:10.1007/978-981-15-1354-1http://cds.cern.ch/record/2704096engSaikia, HemantaBhattacharjee, DibyojyotiMukherjee, DigantaCricket performance management: mathematical formulation and analyticsMathematical Physics and MathematicsThis book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.Springeroai:cds.cern.ch:27040962019
spellingShingle Mathematical Physics and Mathematics
Saikia, Hemanta
Bhattacharjee, Dibyojyoti
Mukherjee, Diganta
Cricket performance management: mathematical formulation and analytics
title Cricket performance management: mathematical formulation and analytics
title_full Cricket performance management: mathematical formulation and analytics
title_fullStr Cricket performance management: mathematical formulation and analytics
title_full_unstemmed Cricket performance management: mathematical formulation and analytics
title_short Cricket performance management: mathematical formulation and analytics
title_sort cricket performance management: mathematical formulation and analytics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-981-15-1354-1
http://cds.cern.ch/record/2704096
work_keys_str_mv AT saikiahemanta cricketperformancemanagementmathematicalformulationandanalytics
AT bhattacharjeedibyojyoti cricketperformancemanagementmathematicalformulationandanalytics
AT mukherjeediganta cricketperformancemanagementmathematicalformulationandanalytics