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PlayeRank: Multi-dimensional and role-aware rating of soccer player performance., , , , , and . CoRR, (2018)Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data., , , , , , , , , and . Data for Refugees Challenge, Springer, (2019)Network-based Measures for Predicting the Outcomes of Football Games., , and . MLSA@PKDD/ECML, volume 1970 of CEUR Workshop Proceedings, page 46-54. CEUR-WS.org, (2015)(So) Big Data and the transformation of the city., , , , , , , , , and 8 other author(s). Int. J. Data Sci. Anal., 11 (4): 311-340 (2021)Inferring human activities from GPS tracks., , , and . UrbComp@KDD, page 5:1-5:8. ACM, (2013)Coach2vec: autoencoding the playing style of soccer coaches., and . CoRR, (2021)Quantifying the relation between performance and success in soccer, and . (2017)cite arxiv:1705.00885.Estimating Time-Dependent speed functions using a Gravity Model over Road Network., , , , and . SEBD, page 321-328. Curran Associates, (2013)PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach., , , , , and . ACM Trans. Intell. Syst. Technol., 10 (5): 59:1-59:27 (2019)Discovering and Understanding City Events with Big Data: The Case of Rome., , , and . Inf., 8 (3): 74 (2017)