Process mining provides a rich set of techniques to discover valuable knowledge of business processes based on data that was recorded in different types of information systems. It enables analysis of end‐to‐end processes to facilitate process re‐engineering and process improvement. Process mining techniques rely on the availability of data in the form of event logs. In order to enable process mining in diverse environments, the recorded data need to be located and transformed to event logs. The journey from raw data to event logs suitable for process mining can be addressed by a variety of methods and techniques, which are the focus of this article. In particular, techniques proposed in the literature to support the creation of event logs from raw data are reviewed and classified. This includes techniques for identification and extraction of the required event data from diverse sources as well as their correlation and abstraction.

中文翻译：

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事件数据的提取，关联和抽象，用于流程挖掘

流程挖掘提供了一组丰富的技术，可根据记录在不同类型信息系统中的数据发现业务流程的宝贵知识。它能够分析端到端的流程，以促进流程的重新设计和流程的改进。流程挖掘技术依赖于事件日志形式的数据可用性。为了在各种环境中进行流程挖掘，需要对记录的数据进行定位并转换为事件日志。从原始数据到适用于过程挖掘的事件日志的过程可以通过多种方法和技术来解决，这是本文的重点。特别是，对文献中提出的支持从原始数据创建事件日志的技术进行了审查和分类。