Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques

This paper proposes a relational learning based approach for discovering strategies in volleyball matches based on optical tracking data. In contrast to most existing methods, our approach permits discovering patterns that account for both spatial (that is, partial configurations of the players on the court) and temporal , that is, the order of events and positions, aspects of the game. We analyze both the men’s and women’s final match from the 2014 FIVB Volleyball World Championships, and are able to identify several interesting and relevant strategies from the matches.


Presented at:
Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August, 2016
Year:
2016
Keywords:
Laboratories:




 Record created 2016-05-12, last modified 2018-03-17

n/a:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)