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Turning event logs into process movies: animating what has really happened

机译:将事件日志转换为过程影片:对实际发生的事情进行动画处理

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摘要

Today's information systems log vast amounts of data. These collections of data (implicitly) describe events (e.g. placing an order or taking a blood test) and, hence, provide information on the actual execution of business processes. The analysis of such data provides an excellent starting point for business process improvement. This is the realm of process mining, an area which has provided a repertoire of many analysis techniques. Despite the impressive capabilities of existing process mining algorithms, dealing with the abundance of data recorded by contemporary systems and devices remains a challenge. Of particular importance is the capability to guide the meaningful interpretation of "oceans of data" by process analysts. To this end, insights from the field of visual analytics can be leveraged. This article proposes an approach where process states are reconstructed from event logs and visualised in succession, leading to an animated history of a process. This approach is customisable in how a process state, partially defined through a collection of activity instances, is visualised: one can select a map and specify a projection of events on this map based on the properties of the events. This paper describes a comprehensive implementation of the proposal. It was realised using the open-source process mining framework ProM. Moreover, this paper also reports on an evaluation of the approach conducted with Suncorp, one of Australia's largest insurance companies.
机译:当今的信息系统记录大量数据。这些数据收集(隐式)描述了事件(例如下订单或进行血液检查),因此提供了有关业务流程实际执行的信息。对此类数据的分析为改进业务流程提供了一个极好的起点。这就是过程挖掘的领域,该领域提供了许多分析技术。尽管现有的流程挖掘算法具有令人印象深刻的功能,但处理现代系统和设备记录的大量数据仍然是一个挑战。特别重要的是能够指导流程分析人员对“数据海洋”进行有意义的解释。为此,可以利用视觉分析领域的见解。本文提出了一种方法,其中从事件日志中重构过程状态并连续进行可视化,从而生成过程的动画历史记录。可通过以下方式来定制该方法:如何可视化通过活动实例集合部分定义的过程状态:可以选择一个图,并根据事件的属性在该图上指定事件的投影。本文介绍了该提案的全面实施。它是使用开源过程挖掘框架ProM实现的。此外,本文还报告了对与澳大利亚最大的保险公司之一的Suncorp进行的评估。

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