Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union
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DOI: 10.1371/journal.pone.0256329
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References listed on IDEAS
- Tianbiao Liu & Philippe Fournier-Viger & Andreas Hohmann, 2018. "Using Diagnostic Analysis to Discover Offensive Patterns in a Football Game," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 381-386, Springer.
- Koh Sasaki & Takuo Furukawa & Jun Murakami & Hironobu Shimozono & Masaki Nagamatsu & Masahiko Miyao & Takumi Yamamoto & Ichiro Watanabe & Hiroshi Yasugahira & Taketoshi Saito & Yuichi Ueno & Takashi K, 2007. "Scoring profiles and defense performance analysis in Rugby Union," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(3), pages 46-53, October.
- K. Michele van Rooyen & D. Timothy Noakes, 2006. "Movement time as a predictor of success in the 2003 Rugby World Cup Tournament," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 6(1), pages 30-39, June.
- Molly Coughlan & Charles Mountifield & Stirling Sharpe & Jocelyn K. Mara, 2019. "How they scored the tries: applying cluster analysis to identify playing patterns that lead to tries in super rugby," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(3), pages 435-451, May.
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