Process mining: software comparison, trends, and challenges

被引:0
|
作者
Octavio Loyola-González
机构
[1] Stratesys,
关键词
Process mining; Data mining; Software; Process automation;
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学科分类号
摘要
Process mining is the confluence between data mining and business process management, which is a growing and promising research topic. From process execution event logs, process mining focuses on understanding end-to-end processes and helps provide more significant findings. In this paper, a brief review of each of the main stages (discovery, conformance, and enhancement) of the process mining and low-code automation platforms for business processes are stated. Also, it provides an analysis of the 16 most prominent process mining software as well as an in-depth taxonomy considering 55 features. From this comparison, a subset of software obtained the best scores for process discovery while others for process simulation. Finally, trends and a set of challenges for process mining are pointed out.
引用
收藏
页码:407 / 420
页数:13
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