论文标题
提取和预处理事件日志
Extracting and Pre-Processing Event Logs
论文作者
论文摘要
事件数据是所有过程挖掘分析的基础。大多数流程挖掘技术都认为其输入是事件日志。但是，事件数据很少以事件日志格式记录，但必须从原始数据中提取。事件日志提取本身是建模的行为，因为分析师必须有意识地选择原始数据的哪些功能用于描述哪些实体的哪些行为。意识到这些选择以及诸如痕迹，情况，活动，事件，表和日志等概念上的细微但重要差异对于掌握高级过程挖掘分析至关重要。 本文提供了基本的概念和形式化，并讨论了从原始事件表和事件日志预处理中提取事件日志提取的设计决策。它旨在作为过程采矿课程中高级演讲的研究材料。
Event data is the basis for all process mining analysis. Most process mining techniques assume their input to be an event log. However, event data is rarely recorded in an event log format, but has to be extracted from raw data. Event log extraction itself is an act of modeling as the analyst has to consciously choose which features of the raw data are used for describing which behavior of which entities. Being aware of these choices and subtle but important differences in concepts such as trace, case, activity, event, table, and log is crucial for mastering advanced process mining analyses. This text provides fundamental concepts and formalizations and discusses design decisions in event log extraction from a raw event table and for event log pre-processing. It is intended as study material for an advanced lecture in a process mining course.
