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Sports Data Mining

  • Robert P. Schumaker
  • Osama K. Solieman
  • Hsinchun Chen

Part of the Integrated Series in Information Systems book series (ISIS, volume 26)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 1-13
  3. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 15-21
  4. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 23-28
  5. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 29-44
  6. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 45-53
  7. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 55-63
  8. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 65-70
  9. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 71-87
  10. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 89-92
  11. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 93-100
  12. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 101-108
  13. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 109-114
  14. Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
    Pages 115-117
  15. Back Matter
    Pages 119-136

About this book

Introduction

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, and greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most respected experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis. Integrated Series in Information Systems (IS2) strives to publish scholarly work in the technical as well as the organizational side of the field. This series contains three sub-series including: expository and research monographs, integrative handbooks, and edited volumes, focusing on the state-of-the-art of application domains and/or reference disciplines, as related to information systems. In a parallel effort - recognizing that some of the cutting edge research in IS comes from doctoral research - selected dissertations are also published in the monograph section of the series.

Keywords

Data Mining Informatics Knowledge Management Sports Informatics Statistical Analysis data analysis statistics

Authors and affiliations

  • Robert P. Schumaker
    • 1
  • Osama K. Solieman
    • 2
  • Hsinchun Chen
    • 3
  1. 1., Computer and Information Systems DeptCleveland State UniversityClevelandUSA
  2. 2.TucsonUSA
  3. 3.Eller College of ManagementUniversity of ArizonaTucsonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-6730-5
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-1-4419-6729-9
  • Online ISBN 978-1-4419-6730-5
  • Series Print ISSN 1571-0270
  • Buy this book on publisher's site