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Process mining: software comparison, trends, and challenges

delete2022-12-30
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Octavio Loyola‐González *
DOI：10.1007/s41060-022-00379-0delete
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Abstract

Abstract

En 中文
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.
Keywords:
Process mining
Data mining
Software
Process automation

Journal

I
International Journal of Data Science and Analytics
IF:
2.8
Papers:
1.0K
Citations:
1.3K

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No organization information available