Process Mining Discovery Techniques in a Low-Structured Process Works?

Raphael J. D'Castro, Adriano Oliveira, Augusto H. Terra
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引用次数: 1

Abstract

Efficiency in the operation is a crucial element for organizations, and this requires greater knowledge about existing business processes. Process Mining is an emerging discipline which aims to provide knowledge about business processes through learning from event logs from the information systems of the organization. Over the last years, the field has progressed significantly, however, some important challenges remain. Among these, we highlight the application in real-world environments, because organizations do not always have well-structured processes, that is, repeatable activities whose inputs and outputs are well defined. Also, there are more complex processes that make it more difficult to get knowledge. This paper presents a study, performed in a real environment, to evaluate the challenges and limitations of the Process Mining tools on process discovery.
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低结构过程工程中的过程挖掘发现技术?
操作的效率是组织的关键要素,这需要对现有业务流程有更多的了解。流程挖掘是一门新兴的学科,旨在通过从组织的信息系统的事件日志中学习来提供有关业务流程的知识。在过去的几年中,该领域取得了重大进展,但仍然存在一些重大挑战。其中,我们强调了现实环境中的应用程序,因为组织并不总是具有结构良好的过程,也就是说,输入和输出定义良好的可重复活动。此外,还有更复杂的过程使得获取知识变得更加困难。本文提出了一项在真实环境中进行的研究,以评估过程挖掘工具在过程发现方面的挑战和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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