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Visual process mining: Event data exploration and analysis

机译:可视过程挖掘:事件数据探索和分析

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The research field of Process Mining deals with the extraction of information from event logs. Since large amounts of event data are generated every day, analyzing these often unstructured event logs poses a research challenge. To cope with the complexity of the data and the associated mining tasks, appropriate visualizations and interactive means are needed. We present our early prototype for the visual exploration of event sequences and patterns. Our approach combines (1) a visual representation of event sequences emphasizing recurring event patterns, (2) automated pattern mining methods, as well as (3) interactive means for exploration. We provide first steps to support browsing event logs in an interactive environment and to facilitate the inspection of recurring pattern locations within the context of the surrounding events.
机译:Process Mining的研究领域涉及从事件日志中提取信息。由于每天都会生成大量事件数据,因此分析这些通常是非结构化的事件日志带来了研究挑战。为了应对数据的复杂性和相关的挖掘任务,需要适当的可视化和交互方式。我们提出了用于事件序列和模式的可视化探索的早期原型。我们的方法结合了(1)强调重复出现的事件模式的事件序列的直观表示,(2)自动模式挖掘方法以及(3)交互式探索手段。我们提供了第一步,以支持在交互式环境中浏览事件日志,并便于检查周围事件上下文中的重复模式位置。

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