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edeaR - Exploratory and Descriptive Event-Based Data Analysis

Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.

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9.12 score 12 stars 5 dependents 151 scripts 864 downloads

bupaR - Business Process Analysis in R

Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.

Last updated

8.77 score 62 stars 8 dependents 398 scripts 723 downloads

processmapR - Construct Process Maps Using Event Data

Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.

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cpp

6.74 score 11 stars 168 scripts 556 downloads

eventdataR - Event Data Repository

Event dataset repository including both real-life and artificial event logs. They can be used in combination with functionalities provided by the 'bupaR' packages 'edeaR', 'processmapR', etc.

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6.28 score 2 stars 9 dependents 353 scripts 585 downloads

processcheckR - Rule-Based Conformance Checking of Business Process Event Data

Check compliance of event-data from (business) processes with respect to specified rules. Rules supported are of three types: frequency (activities that should (not) happen x number of times), order (succession between activities) and exclusiveness (and and exclusive choice between activities).

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5.20 score 5 stars 32 scripts 474 downloads

psmineR - Performance Spectrum Miner for Event Data

Compute detailed and aggregated performance spectrum for event data. The detailed performance spectrum describes the event data in terms of segments, where the performance of each segment is measured and plotted for any occurrences of this segment over time and can be classified, e.g., regarding the overall population. The aggregated performance spectrum visualises the amount of cases of particular performance over time. Denisov, V., Fahland, D., & van der Aalst, W. M. P. (2018) <doi:10.1007/978-3-319-98648-7_9>.

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4.18 score 30 scripts 420 downloads

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,...).

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4.03 score 6 stars 18 scripts 431 downloads

processmonitR - Building Process Monitoring Dashboards

Functions for constructing dashboards for business process monitoring. Building on the event log objects class from package 'bupaR'. Allows the use to assemble custom shiny dashboards based on process data.

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3.57 score 1 stars 37 scripts 306 downloads