Sports analytics and the big-data era View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-06

AUTHORS

Elia Morgulev, Ofer H. Azar, Ronnie Lidor

ABSTRACT

The explosion of data, with large datasets that are available for analysis, has affected virtually every aspect of our lives. The sports industry has not been immune to these developments. In this article, we provide examples of three types of data-driven analyses that have been performed in the domain of sport: (a) field-level analysis focused on the behavior of athletes, coaches, and referees; (b) analysis of management and policymakers’ decisions; and (c) analysis of the literature that uses sports data to address various questions in the fields of economics and psychology. More... »

PAGES

213-222

References to SciGraph publications

  • 1997-03. Advanced Scout: Data Mining and Knowledge Discovery in NBA Data in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2016-11. The good, the bad, and the ugly: uncovering novel research opportunities in social media mining in INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
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    URI

    http://scigraph.springernature.com/pub.10.1007/s41060-017-0093-7

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