Sports analytics : analysis, visualisation and decision making in sports performance / Ambikesh Jayal, Allistair McRobert, Giles Oatley and Peter O'Donoghue.

By:

Jayal, Ambikesh [author.]

Contributor(s):

Material type: Text

TextPublisher: London ; New York : Routledge, Taylor & Francis Group, 2018Description: xvi, 255 pages ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780415789431 (pbk)

Subject(s):

DDC classification:

796.02/1 23

LOC classification:

GV741 .J38 2018

Contents:

What is analytics? -- Complex data and the "Data Age" -- Interactive visualisation -- Simulation and modelling -- Geospatial data analysis -- Spatio-temporal analysis -- Machine learning and sport -- Genomics in sports -- Social network analysis -- Knowledge discovery in databases and data mining -- Data management and infrastructure -- Sports analytics applications in soccer.

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Standard Loan	Thurles Library Main Collection	796.021 JAY (Browse shelf(Opens below))	Available		39002100609404

Enhanced descriptions from Syndetics:

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 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.

Includes bibliographical references and index.

Table of contents provided by Syndetics

List of figures (p. xi)
List of tables (p. xiii)
Preface (p. xiv)
1 What is Analytics? (p. 1)
2 Complex Data and The Data Age (p. 24)
3 Interactive Visualisation (p. 41)
4 Simulation and Modelling (p. 67)
5 Geospatial Data Analysis (p. 83)
6 Spatiotemporal Analysis (p. 114)
7 Machine Learning and Sports (p. 134)
8 Genomics in Sports (p. 149)
9 Social Network Analysis (p. 173)
10 Knowledge Discovery in Databases and Data Mining (p. 190)
11 Data Management and Infrastructure (p. 208)
12 Sports Analytics Applications in Soccer (p. 220)
Index (p. 245)

Author notes provided by Syndetics

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 O'Donoghue is a Reader in Sports Performance Analysis in Cardiff School of Sport at Cardiff Metropolitan University, UK.