Process Mining: Overview and Opportunities文章翻译
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Process Mining: Overview and Opportunities
流程挖掘:概述和机会
Over the last decade, process mining emerged as a new research field that focuses on the
analysis of processes using event data. Classical data mining techniques such as
classification, clustering, regression, association rule learning, and sequence/episode
mining do not focus on business process models and are often only used to analyze a
specific step in the overall process. Process mining focuses on end-to-end processes and
is possible because of the growing availability of event data and new process discovery
and conformance checking techniques.
在过去的十年中，流程挖掘作为一个新的研究领域出现了，它专注于使用事件
数据分析流程。 经典的数据挖掘技术，如分类、聚类、回归、关联规则学习和序列
/片段挖掘，并不关注业务流程模型，通常只用于分析整个流程中的特定步骤。 流程
挖掘主要关注端到端流程，由于事件数据的可用性不断提高，以及新的流程发现和
一致性检查技术的出现，流程挖掘成为可能。
Process models are used for analysis (e.g., simulation and verification) and enactment
by BPM/WFM systems. Previously, process models were typically made by hand without
using event data. However, activities executed by people, machines, and software leave
trails in so-called event logs. Process mining techniques use such logs to discover, analyse,
and improve business processes.
流程模型用于 BPM/WFM 系统的分析(例如，仿真和验证)和制定。 以前，流程
模型通常是手工创建的，不使用事件数据。 然而，由人、机器和软件执行的活动会
在所谓的事件日志中留下痕迹。 流程挖掘技术使用这些日志来发现、分析和改进业
务流程。
Recently, the Task Force on Process Mining released the Process Mining Manifesto.
This manifesto is supported by 53 organizations and 77 process mining experts contributed
to it. The active involvement of end-users, tool vendors, consultants, analysts, and
researchers illustrates the growing significance of process mining as a bridge between data
mining and business process modeling. The practical relevance of process mining and
the interesting scientific challenges make process mining one of the “hot” topics in
Business Process Management (BPM). This paper introduces process mining as a new
research field and summarizes the guiding principles and challenges described in the
manifesto.
最近，流程挖掘工作组发布了流程挖掘宣言。 该宣言得到了 53 个组织的支持，
77 个流程挖掘专家也参与其中。 最终用户、工具供应商、顾问、分析师和研究人员
的积极参与说明了流程挖掘作为数据挖掘和业务流程建模之间桥梁的日益重要的意
义。 流程挖掘的实际相关性和有趣的科学挑战使流程挖掘成为业务流程管理(BPM)
中的“热门”话题之一。 本文介绍了流程挖掘作为一个新的研究领域，并总结了宣言
中描述的指导原则和挑战。
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