posted by user: azimmerm || 3440 views || tracked by 7 users: [display]

MLSA 2013 : Machine Learning and Data Mining for Sports Analytics @ ECML/PKDD 2013


When Sep 27, 2013 - Sep 27, 2013
Where Prague, Czech Republic
Submission Deadline Jun 28, 2013
Notification Due Jul 19, 2013
Final Version Due Aug 2, 2013
Categories    machine learning   data mining   sports analytics

Call For Papers

The Machine Learning and Data Mining for Sports Analytics workshop at ECML/PKDD 2013 in Prague, Czech Republic, solicits papers on Machine Learning, Data Mining, and other related approaches for sports analytics. The application of analytic techniques 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 Long papers should report on novel, unpublished work that might not be quite mature enough for a conference or journal submission.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 including 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:
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 Committee on the basis of technical quality, relevance, significance, and clarity. Submitting 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:

Albrecht Zimmermann, Jesse Davis, Workshop organizers

Related Resources

ICDM 2018   IEEE International Conference on Data Mining
TIST Special Issue 2018   ACM TIST Special Issue on Advances in Causal Discovery and Inference
ACML 2018   The 10th Asian Conference on Machine Learning
ECML-PKDD 2018   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ICMLB 2018   International Conference on Machine Learning and Big Data 2018
AusDM 2018   Australasian Data Mining Conference
ICANN 2018   27th International Conference on Artificial Neural Networks
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
BMVC 2018   British Machine Vision Conference