Recently, research on event management has redrawn much attention and made great progress. As the core tasks of event management, event modeling and mining are essential for accessing and utilizing events effectively. In this survey, we provide a detailed review of event modeling and event mining. Based on a general definition, different characteristics of events are described, along with the associated challenges. Then, we define four forms of events in order to better classify currently available but somewhat confusing event types; we also compare different event representation and relationship analysis techniques used for different forms of events. Finally, we discuss several pending issues and application-specific challenges which also shed light on future research directions.

中文翻译：

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事件建模和挖掘：走向可解释事件的漫长旅程

近年来，事件管理的研究引起了人们的广泛关注并取得了长足的进步。作为事件管理的核心任务，事件建模和挖掘对于有效访问和利用事件至关重要。在此调查中，我们提供了事件建模和事件挖掘的详细回顾。基于一般定义，描述了事件的不同特征以及相关的挑战。然后，我们定义事件的四种形式，以便更好地分类当前可用但有些混乱的事件类型。我们还比较了用于不同形式事件的不同事件表示和关系分析技术。最后，我们讨论了几个悬而未决的问题和特定于应用程序的挑战，这也为将来的研究方向提供了启示。