Soccer2014DS: a dataset containing player events from the 2014 World Cup

Autor: Ribeiro, Marcos, Barioni, Maria Camila N., De Amo, Sandra, Roncancio, Claudia, Labbé, Cyril
Přispěvatelé: Faculdade de Computação, Universidade Federal de Uberlândia - UFU, Systèmes d’Information - inGénierie et Modélisation Adaptables (SIGMA), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: 32nd BRAZILIAN SYMPOSIUM ON DATABASES (SBBD 2017)
32nd BRAZILIAN SYMPOSIUM ON DATABASES (SBBD 2017), 2017, Uberlandia, Brazil
Popis: International audience; The player monitoring has become a common task in many sports. However, there is no public datasets of detailed soccer player events. Thus the creation of such datasets can be useful for diverse research fields such data mining, sports analytics and continuous preference queries. In this paper, we describe the construction of the dataset Soccer2014DS containing player events of the 2014 Soccer World Cup. This dataset is composed by the raw extracted data collected by a web crawler and by derived streams with new calculated attributes. We also explain how we are using this dataset in experiments related to the development of a new query language.
Databáze: OpenAIRE