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 has therefore been two-fold. The first is to raise awareness about this emerging application area. The second is to 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.nrpages: 83status: publishe
Due to the chaotic nature of soccer, the predictive statistical models have become in a current chal...
Recently, data mining studies are being successfully conducted to estimate several parameters in a v...
Tokyo 2020 Olympic Games has been postponed until 2021. Most of the 33 sports still planned for the ...
This document contains the papers presented at MLSA13, the first workshop on Machine Learning and Da...
This document contains the papers presented at MLSA15, which is the second workshop on Machine Learn...
The application of analytic techniques is rapidly gaining traction in both professional and amateur ...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
Sports analytics had its public breakthrough as early as the 1970s when baseball enthusiasts started...
Data about sports have long been the subject of research and analysis by sports scientists. The incr...
This thesis deals with applying machine learning algorithms in sports analytics. Sports analytics ca...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and d...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
Due to the chaotic nature of soccer, the predictive statistical models have become in a current chal...
Recently, data mining studies are being successfully conducted to estimate several parameters in a v...
Tokyo 2020 Olympic Games has been postponed until 2021. Most of the 33 sports still planned for the ...
This document contains the papers presented at MLSA13, the first workshop on Machine Learning and Da...
This document contains the papers presented at MLSA15, which is the second workshop on Machine Learn...
The application of analytic techniques is rapidly gaining traction in both professional and amateur ...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
International audienceThis book constitutes the refereed post-conference proceedings of the 8th Inte...
Sports analytics had its public breakthrough as early as the 1970s when baseball enthusiasts started...
Data about sports have long been the subject of research and analysis by sports scientists. The incr...
This thesis deals with applying machine learning algorithms in sports analytics. Sports analytics ca...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and d...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
Due to the chaotic nature of soccer, the predictive statistical models have become in a current chal...
Recently, data mining studies are being successfully conducted to estimate several parameters in a v...
Tokyo 2020 Olympic Games has been postponed until 2021. Most of the 33 sports still planned for the ...