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Visual Analytics Meets Process Mining: Challenges and Opportunities

机译:可视化分析与流程挖掘相遇:挑战与机遇

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Event data or traces of activities often exhibit unexpected behavior and complex relations. Thus, before and during the application of automated analysis methods, such as process mining algorithms, the analyst needs to investigate and understand the data at hand in order to decide which analysis methods might be appropriate. Visual analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. The combination of visual data exploration with process mining algorithms makes complex information structures more comprehensible and facilitates new insights. In this position paper I portray various concepts of interactive visual support for process mining, focusing on the challenges, but also the great opportunities for analyzing process data with visual analytics methods.
机译:事件数据或活动痕迹通常表现出意想不到的行为和复杂的关系。因此,在应用自动分析方法(例如过程挖掘算法)之前和期间,分析人员需要研究和理解手头的数据,以便确定哪种分析方法可能合适。视觉分析将人类在视觉信息探索方面的卓越能力与计算机的强大处理能力相结合,从而形成了强大的知识发现环境。可视化数据探索与流程挖掘算法的结合使复杂的信息结构更易于理解,并有助于获得新的见解。在本立场文件中,我描述了针对过程挖掘的交互式可视化支持的各种概念,不仅着眼于挑战,而且还提供了使用可视化分析方法分析过程数据的巨大机会。

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