Muutke küpsiste eelistusi

E-raamat: Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance

, (Cardiff Metropolitan University, UK), (Cardiff Metropolitan University, UK), (Liverpool John Moores University, UK)
  • Formaat - EPUB+DRM
  • Hind: 54,59 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance  provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available.

Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including:

  • Interactive visualisation
  • Simulation and modelling
  • Geospatial data analysis
  • Spatiotemporal analysis
  • Machine learning
  • Genomic data analysis
  • Social network analysis

Offering online example datasets and exercises, and culminating in a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

List of figures
xi
List of tables
xiii
Preface xiv
1 What is Analytics?
1(23)
2 Complex Data and the Data Age
24(17)
3 Interactive Visualisation
41(26)
4 Simulation and Modelling
67(16)
5 Geospatial Data Analysis
83(31)
6 Spatiotemporal Analysis
114(20)
7 Machine Learning and Sports
134(15)
8 Genomics in Sports
149(24)
9 Social Network Analysis
173(17)
10 Knowledge Discovery in Databases and Data Mining
190(18)
11 Data Management and Infrastructure
208(12)
12 Sports Analytics Applications in Soccer
220(25)
Index 245
Ambikesh Jayal is a Senior Lecturer in Computing and Information Systems at Cardiff Metropolitan University, UK.

Allistair McRobert is a Senior Lecturer of Performance Analysis at Liverpool John Moores University, UK.

Giles Oatley is a Senior Lecturer at Federation University, Australia.

Peter ODonoghue is a Reader in Sports Performance Analysis in Cardiff School of Sport at Cardiff Metropolitan University, UK.