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Process mining: software comparison, trends, and challenges
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AI
DOI：10.1007/s41060-022-00379-0.png)
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摘要
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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.
Keyword:
Process mining
Data mining
Software
Process automation
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2.8
论文数:
1.1K
被引数:
1.3K
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