most citedIdentifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 2 cited

Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery

Kentaroh Toyoda, Rachel Gan Kai Ying, Allan NengSheng Zhang +1

Process mining discovers and analyzes a process model from historical event logs. The prior art methods use the key attributes of case-id, activity, and timestamp hidden in an even…