将足球数据转化为带空间信息的多对象事件日志，首次实现足球场景下的对象中心流程挖掘。
Transforming Football Data into Object-centric Event Logs with Spatial Context Information
- 基于真实足球数据构建多对象事件日志，融合空间位置信息
- 生成首个足球场景下的对象中心事件日志，支持复杂行为分析
- 适合体育数据分析与流程挖掘交叉研究者参考
对象中心事件日志通过引入多个对象，突破了传统单案例事件日志的局限，可分析更复杂真实的流程行为。然而，真实世界中的对象中心事件日志仍十分有限，亟需更多实际应用验证其价值。团队运动中日益丰富的数据为对象中心流程挖掘提供了现实数据基础和适用场景。本文提出一个框架，将足球（橄榄球）数据转换为带有空间维度的对象中心事件日志。通过基于真实足球数据生成对象中心事件日志，并探讨不同流程表示下的结果表现，验证了该框架的有效性。本工作首次在足球分析中实现了对象中心事件日志，未来研究可进一步探索变体分析与过滤技术，以更好处理流程变异。
原文摘要 · Abstract (English)
Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process behavior. However, the number of real-world object-centric event logs remains limited, and further studies are needed to test their usefulness. The increasing availability of data from team sports can facilitate object-centric process mining, leveraging both real-world data and suitable use cases. In this paper, we present a framework for transforming football (soccer) data into an object-centric event log, further enhanced with a spatial dimension. We demonstrate the effectiveness of our framework by generating object-centric event logs based on real-world football data and discuss the results for varying process representations. With our paper, we provide the first example for object-centric event logs in football analytics. Future work should consider variant analysis and filtering techniques to better handle variability
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