Process Mining Tools Comparison

U. Çelik, E. Akçetin
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引用次数: 10

Abstract

Process mining is a new era in the science of data mining and is a subset of business intelligence. Process mining analysis provides an idea about a general process by comparing each process with others in the terms of time and responsible people who deal with the process. For this reason, event logs are checked. Event logs consist of large data. Because the event logs keep all the records that occur during short time intervals. Special programs are needed to examine such data. These programs generate a process map using information such as event ID, activity, time and responsible person. Through the analysis, processes are discovered, monitored and improved. In this study, the tools named ProM, Disco, Celonis and My-Invenio used in process mining were examined and their performance according to usage features compared. According to the obtained results, the usefulness, performance and reporting features of the software used in a process analysis are revealed.
流程挖掘工具比较
流程挖掘是数据挖掘科学的一个新时代,是商业智能的一个子集。流程挖掘分析通过将每个流程与其他流程在时间和负责处理该流程的人员方面进行比较,从而提供关于一般流程的概念。因此,要检查事件日志。事件日志包含大量数据。因为事件日志保留了在短时间间隔内发生的所有记录。需要专门的程序来检查这些数据。这些程序使用诸如事件ID、活动、时间和负责人等信息生成流程图。通过分析,可以发现、监控和改进过程。本研究对过程挖掘中使用的ProM、Disco、Celonis和My-Invenio工具进行了研究,并根据使用特点对它们的性能进行了比较。根据所获得的结果,揭示了该软件在过程分析中的实用性、性能和报告特性。
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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