| 09:00 - 10:00 |
Plenary invited talk |
| Natasa Milic-Frayling |
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| 10:00 - 10:10 |
Introduction |
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| 10:10 - 11:10 |
Invited talk: Data Mining Meets Football |
| Ulf Brefeld |
| Football is the predominant sports in the world with about 3.3–3.5 billion fans all around the globe. To serve all kinds of information needs and to provide exhaustive media coverages, data plays an increasing role in football. Perhaps the most challenging data that is being recorded on large-scales in many leagues are trajectory data of the players. Today, the resource is mainly used to summarise matches into descriptive statistics such as heat maps of whereabouts of the players; hence, the full potential of the data is yet to be exploited. By contrast, football clubs have a need for intelligent data processing techniques to answer complex questions. This includes data-driven analyses of the tactics of the opponent teams and also leverages to use-cases such as serious games and scouting players. In this talk, I will introduce trajectory data and point out inherent problems that need to be addressed before learning and mining approaches may be applied. I will show empirical results for exemplary problem settings including the efficient retrieval of similar scenes and analysing game strategies. |
| Download the slides. |
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| 11:10 - 11:30 |
Coffee break |
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| 11:30 - 11:50 |
Predictive Efficacy of a New Association Football League Format in Polish Ekstraklasa |
| Jan Lasek and Marek Gagolewski |
| Download the paper and slides. |
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| 11:50 - 12:00 |
Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer |
| Markus Brandt and Ulf Brefeld |
| Download the paper and slides. |
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| 12:00 - 14:00 |
Lunch break |
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| 14:00 - 15:00 |
Plenary invited talk |
| Chen-Ching Liu |
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| 15:00 - 15:20 |
Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding |
| Romain Herault, Jérémie Boulanger, Ludovic Seifert and John Aldo Lee |
| Download the paper and slides. |
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| 15:20 - 15:40 |
Identifying Avatar Aliases in StarCraft 2 |
| Olivier Cavadenti, Victor Codocedo, Mehdi Kaytoue and Jean-Francois Boulicaut |
| Download the paper and slides. |
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| 15:40 - 15:50 |
What Can Hawk-Eye Data Reveal about Serve Performance in Tennis? |
| François Rioult, Sami Mecheri, Bruno Mantel, François Kauffmann and Nicolas Benguigui |
| Download the paper and slides. |
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| 15:50 - 16:00 |
Network-based Measures for Predicting the Outcomes of Football Games |
| Paolo Cintia, Salvatore Rinzivillo and Luca Pappalardo |
| Download the paper and slides. |
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| 16:00 - 16:20 |
Coffee break |
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| 16:20 - 16:40 |
Learning Stochastic Models for Basketball Substitutions from Play-by-Play Data |
| Harish S. Bhat, Li-Hsuan Huang and Sebastian Rodriguez |
| Download the paper and slides. |
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| 16:40 - 16:50 |
Exploring Chance in NCAA Basketball |
| Albrecht Zimmermann |
| Download the paper and slides. |
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| 16:50 - 17:10 |
What is the Value of an Action in Ice Hockey? Q-Learning for the NHL |
| Oliver Schulte, Zeyu Zhao and Kurt Routley |
| Download the paper and slides. |
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| 17:10 - 17:30 |
Football Player's Performance and Market Value |
| Miao He, Ricardo Cachucho and Arno Knobbe |
| Download the paper and slides. |
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| 17:30 - 17:40 |
Estimating the Maximal Speed of Soccer Players on Scale |
| Laszlo Gyarmati and Mohamed Hefeeda |
| Download the paper and slides. |
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| 17:40 - 18:00 |
Wrap up and discussion |
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