论文【利用决策树学习提取业务流程事件日志中的缺失趋势】翻译.docx
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2023-06-08
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Extraction of Missing Tendency Using Decision Tree Learning in Business
Process Event Log
利用决策树学习提取业务流程事件日志中的缺失趋势
Abstract: In recent years, process mining has been attracting attention as an
effective method for improving business operations by analyzing event logs that
record what is done in business processes. The event log may contain missing
data due to technical or human error, and if the data are missing, the analysis
results will be inadequate. Traditional methods mainly use prediction completion
when there are missing values, but accurate completion is not always possible.
In this paper, we propose a method for understanding the tendency of missing
values in the event log using decision tree learning without supplementing the
missing values. We conducted experiments using data from the incident management
system and confirmed the effectiveness of our method.
Keywords: process mining; business process management; data quality; data
management
摘要：近年来，流程挖掘作为一种有效的方法引起了人们的关注，它通过分析记录业务流程
中所做的事情的事件日志来改善企业运营。事件日志中可能包含由于技术或人为错误而导致
的数据缺失，如果数据缺失，分析结果将是不充分的。传统的方法主要是在有缺失值时使用
预测补全，但准确的补全并不总是可能的。在本文中，我们提出了一种在不补充缺失值的情
况下，利用决策树学习来理解事件日志中的缺失值趋势的方法。我们使用事件管理系统的数
据进行了实验，证实了我们方法的有效性。
关键词：流程挖掘；业务流程管理；数据质量；数据管理
1.Introduction
1.引言
Information systems encourage the efficient execution and management of business
processes. If the results of business process execution are recorded as an event
log, we can effectively use it to improve the business process. The analysis of
event logs is called process mining [1] and has attracted much attention in
recent years. For example, process discovery [1] is a technique to automatically
generate a business process model that satisfies the behavior by inputting an
event log that records who executed what activity at what time. The visualization
of business processes by using business process models can be used to understand
the current situation. In addition to this, process mining techniques can also
be used to check whether a process conforms to the organization’s rules, analyze
process performance, and suggest process improvements. The availability of event
logs will allow for evidence-based analysis and increase opportunities for
business process improvement [2].
信息系统鼓励业务流程的有效执行和管理。如果业务流程的执行结果被记录为事件日志，我
们可以有效地利用它来改进业务流程。对事件日志的分析被称为流程挖掘[1]，在最近几年
引起了广泛的关注。例如，流程发现[1]是一种技术，通过输入记录谁在什么时间执行什么
活动的事件日志，自动生成满足行为的业务流程模型。通过使用业务流程模型对业务流程进
行可视化，可以用来了解当前情况。除此之外，流程挖掘技术还可以用来检查一个流程是否
符合组织的规则，分析流程的性能，并提出流程的改进建议。事件日志的可用性将允许进行
基于证据的分析，并增加业务流程改进的机会[2]。
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