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 - researchr publication

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Jesse Davis, Jan Van Haaren, Albrecht Zimmermann, editors, 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. Volume 1969 of CEUR Workshop Proceedings, CEUR-WS.org, 2013. [doi]

Conference: pkdd2013

Abstract is missing.

Why Do Sports Officials Dropout?Fabrice Dosseville, François Rioult, Sylvain Laborde. 1-10 [doi]

Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern MiningGuillaume Bosc, Mehdi Kaytoue, Chedy Raïssi, Jean-François Boulicaut. 11-20 [doi]

Maps for Reasoning in UltimateJeremy Weiss, Sean Childers. 21-27 [doi]

Predicting the NFL using TwitterShiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith. 28-38 [doi]

Use of Performance Metrics to Forecast Success in the National Hockey LeagueJoshua Weissbock, Herna Viktor, Diana Inkpen. 39-48 [doi]

Finding Similar Movements in Positional Data StreamsJens Haase, Ulf Brefeld. 49-57 [doi]

Comparison of Machine Learning Methods for Predicting the Recovery Time of Professional Football Players After an Undiagnosed InjuryStylianos Kampakis. 58-68 [doi]

Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons LearnedAlbrecht Zimmermann, Sruthi Moorthy, Zifan Shi. 69-78 [doi]

Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EMJohn Komar, Romain Hérault, Ludovic Seifert. 79-88 [doi]

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