Communications of the ACM
Algorithm Can Repair Missing Data in Event Logs
The proposed method can improve the quality of event logs and of process mining analysis, the researchers say.
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In a collaborative study, researchers from Pusan National University in South Korea and Georgia Institute of Technology have developed a method that can restore missing data in an event log. The researchers use imputation methods and correlations between available data to find missing information.
They describe their work in "Bagging Recurrent Event Imputation for Repair of Imperfect Event Log with Missing Categorical Events," published in IEEE Transactions on Services Computing.
"Our study suggested a method of restoring missing event values by utilizing the relationship among entities in the event log, which can overcome human error or system," says Sunghyun Sim at Pusan National.
From Pusan National University
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