2026-10-13T17:57:01Z https://www.scidb.cn/oai

10.57760/sciencedb.19835 2025-01-21T16:27:13Z

2025-01-21 Preprocessing and datasets containing different levels of missing rates (event logs) doi:10.57760/sciencedb.19835 en We provided preprocessed datasets containing missing values, targeting six public event logs and four missing percentage levels (15%, 20%, 25%, and 30%). The CNN method only repairs the single attribute value of event activity names, so we simulated missing values only for the activity names. The MIEC and DFI methods employed the same missing value simulation approach.Please note that we did not apply the masking mechanism to simulate missing values for timestamps, as they represent crucial temporal information in event logs.  Event Logs; Datasets; Missing percentage levels YONG WANG YUAN PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank