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Data · dataset · 2025

Preprocessing and datasets containing different levels of missing rates (event logs)

Listed in ScienceDB

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.

Description

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. 

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1983511 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[method].local:method:simulationenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title