Workshop on Machine Learning for Sports Analytics

[azimmerm]

Dear all,

first off, hi, since I am a new member.

Second, a colleague and I are organizing a workshop on Machine Learning for Sports Analytics at this year's ECML/PKDD in Prague. The call for papers is posted below. If any of you feel that they have research that they would like to submit, we'd be very interested but even if you "only" pass this CFP on to researchers that might be interested, we'd be grateful.

Cheers, A

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(Machine Learning and Data Mining for) Sports Analytics @ ECML/PKDD 2013 (MLSA13)– Call for Papers

The Machine Learning and Data Mining for Sports Analytics workshop at ECML/PKDD 2013 solicits papers on Machine Learning, Data Mining, and other related approaches for sports analytics. The application of analytic tech- niques is rapidly gaining traction in both professional and amateur sports circles. The majority of techniques used in the field so far are statistical. While there has been some interest in the Machine Learning and Data Mining community, it has been somewhat muted so far. The goal of this workshop is two-fold. The first is to raise awareness about this emerging application area. The second is bring members of the sport analytics community into contact with typical ECML/PKDD contributors, and to highlight what the community has done and can do in the field.
To this end, we invite submissions on all topics related to the automated analysis of sports data. Possible topics include:
• Player acquisition and team spending • Training regimens and focus
• Match strategy
• Injury prediction and prevention
• Predicting match outcomes
• Betting odds calculation
• Text analysis of match reports • Descriptive modeling
We are open to all sports, including, but not limited to, football/soccer, basket- ball, baseball, American football, etc. Papers can report on empirical findings, novel metrics, new problems, novel algorithms, etc.
Authors can submit long papers or extended abstracts. Long papers should report on novel, unpublished work that might not be quite mature enough for a conference or journal submission. Papers can be a maximum of 8 pages ex- cluding references. Extended abstracts can be a maximum of 2 pages includ- ing references and should summarize recent publications that fit the theme of the workshop. Authors should submitt a PDF version in Springer LNCS style through the following website: https://www.easychair.org/conferences/?conf=mlsa13.
Key dates:
• Papers due: June 28, 2013
• Notification: July 19, 2013
• Camera-ready due: August 2, 2013
Each paper will be reviewed by at least two members of the Program Com- mittee on the basis of technical quality, relevance, significance, and clarity. Sub- mitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper.
For more information, please see the workshop website: http://dtai.cs.kuleuven.be/events/MLSA13/index.php.

[Crow]

Thanks for the notice. I hope you get a lot of good papers, especially on pro basketball. A mention of the link to any papers that are available online later would be appreciated.

Do you know Jose Martinez (occasionally posts here)? He might be a interesting person to chat with.

private message link: ucp.php?i=pm&mode=compose&u=126

other contact info:

http://www.upct.es/~beside/jose
http://basket-research.blogspot.com/

[PD123]

There are also people I've had passing interactions with on another site that do a machine learning-based march madness competition who might be worth getting in contact with. These guys can be found at http://blog.smellthedata.com/.

[Crow]

fyi.

http://www.teamrankings.com/blog/ncaa-b ... -geek-idol

Maybe you can talk him into submitting or conversing?