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,...).

Package details

AuthorNiels Martin [aut, cre], Greg Van Houdt [ctb], Gert Janssenswillen [ctb]
MaintainerNiels Martin <niels.martin@uhasselt.be>
LicenseMIT + file LICENSE
Version0.3.1
URL https://github.com/nielsmartin
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("daqapo")

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daqapo documentation built on Oct. 23, 2020, 7:55 p.m.