Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting

Machine Learning, vol. 114

Authors 8

1. Fabian Wunderlich

   German Sport University Cologne

   Affiliation as printed

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany

2. Henrik Biermann

   German Sport University Cologne

   Affiliation as printed

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany

3. Weiran Yang Aachen Department of Computer Science

   German Sport University Cologne · RWTH Aachen University

   Affiliation as printed

   Department of Computer Science, RWTH Aachen, Templergraben 55, 52056, Aachen, Germany

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany

4. Manuel Bassek

   German Sport University Cologne

   Affiliation as printed

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany

5. Dominik Raabe corresponding
   Affiliation as printed

   Raabe Analytics, Aachener Straße 1041, 50858, Cologne, Germany

6. Nico Elbert

   University of Würzburg

   Affiliation as printed

   Faculty of Business Management and Economics, Julius-Maximilian-University Würzburg, Sanderring 2, 97070, Würzburg, BY, Germany

7. Daniel Memmert

   German Sport University Cologne

   Affiliation as printed

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany

8. Marc Garnica Caparrós

   German Sport University Cologne

   Affiliation as printed

   Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany