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Mapping of event identifiers to event names

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Figshare2020-01-28 更新2026-04-08 收录
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Mapping of event identifiers to event names.<br>If you use this code or the plots generated from it, please cite/mention the following papers:Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of spatio-temporal match events in soccer competitions. Sci Data 6, 236 (2019) doi:10.1038/s41597-019-0247-7, https://www.nature.com/articles/s41597-019-0247-7Pappalardo, L., Cintia, P., Ferragina, P., Massucco, E., Pedreschi, D., Giannotti, F. (2019) PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. ACM Transactions on Intelligent Systems and Technologies 10(5) Article 59, DOI: https://doi.org/10.1145/3343172, https://dl.acm.org/citation.cfm?id=3343172and the data collection on figshare:Pappalardo, Luca; Massucco, Emanuele (2019): Soccer match event dataset. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4415000

事件标识符与事件名称的映射关系。若您使用本代码或由此生成的可视化图表,请引用或提及以下文献: 1. Pappalardo, L.、Cintia, P.、Rossi, A. 等发表的《足球赛事时空匹配事件公开数据集》(A public data set of spatio-temporal match events in soccer competitions),刊载于《科学数据》(Scientific Data)2019年第6卷第236页,DOI:10.1038/s41597-019-0247-7,链接:https://www.nature.com/articles/s41597-019-0247-7 2. Pappalardo, L.、Cintia, P.、Ferragina, P.、Massucco, E.、Pedreschi, D.、Giannotti, F. 于2019年发表的《PlayeRank:基于机器学习的数据驱动式足球赛事表现评估与球员排名方法》(PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach),刊载于《ACM智能系统与技术汇刊》(ACM Transactions on Intelligent Systems and Technologies)2019年第10卷第5期,文章编号59,DOI:https://doi.org/10.1145/3343172,链接:https://dl.acm.org/citation.cfm?id=3343172 此外,请引用figshare平台上的数据集资源:Pappalardo, Luca、Massucco, Emanuele(2019)发布的《足球赛事事件数据集》(Soccer match event dataset),该资源收录于figshare数据集合集,DOI:10.6084/m9.figshare.c.4415000,链接:https://doi.org/10.6084/m9.figshare.c.4415000

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2020-01-28
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