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MLSA@PKDD/ECML 2013: Prague, Czech Republic
- Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), Prague, Czech Republic, September 27th, 2013. CEUR Workshop Proceedings 1969, CEUR-WS.org 2013 - Fabrice Dosseville, François Rioult, Sylvain Laborde:
Why Do Sports Officials Dropout? 1-10 - Guillaume Bosc, Mehdi Kaytoue, Chedy Raïssi, Jean-François Boulicaut:
Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining. 11-20 - Jeremy C. Weiss, Sean Childers:
Maps for Reasoning in Ultimate. 21-27 - Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. 28-38 - Joshua Weissbock, Herna L. Viktor, Diana Inkpen:
Use of Performance Metrics to Forecast Success in the National Hockey League. 39-48 - Jens Haase, Ulf Brefeld:
Finding Similar Movements in Positional Data Streams. 49-57 - Stylianos Kampakis:
Comparison of Machine Learning Methods for Predicting the Recovery Time of Professional Football Players After an Undiagnosed Injury. 58-68 - Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi:
Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned. 69-78 - John Komar, Romain Hérault, Ludovic Seifert:
Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM. 79-88
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