daqapo
Data Quality Assessment for Process-Oriented Data
Provides a variety of methods to identify data quality issues in process-oriented data, which are useful to verify data quality in a process mining context. Builds on the class for activity logs implemented in the package 'bupaR'. Methods to identify data quality issues either consider each activity log entry independently (e.g. missing values, activity duration outliers,...), or focus on the relation amongst several activity log entries (e.g. batch registrations, violations of the expected activity order,...).
- Version0.3.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/14/2022
Documentation
Team
Niels Martin
Gert Janssenswillen
Show author detailsRolesContributorGreg Van Houdt
Show author detailsRolesContributor
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- Imports16 packages
- Suggests2 packages