Supplementary Material for "Decomposing Process Performance based on Actor Behavior"
Creators
Description
====================================================================================
Supplementary Material for "Decomposing Process Performance based on Actor Behavior"
====================================================================================
The results of the approach applied to the BPIC17 event log and an R script to 
produce the figures of the paper.
Files:
- actor_behavior_all_instances_per_edge/*            The raw data files (.pkl)
- output_BPIC17_performance_decomposed_forR.csv        Precomputed means
- performance_decomposed_paper.R                    Script to produce figures
The R script requires a recent R (>4.1) and the following packages:
readr, dplyr, reticulate, ggplot2, purrr, xtable
It also requires a working Python distribution with reticulate:
https://rstudio.github.io/reticulate/index.html
Files
      
        README.txt
        
      
    
    
      
        Files
         (25.5 MB)
        
      
    
    | Name | Size | Download all | 
|---|---|---|
| 
            
            md5:02a2df58ab46300e123c4403fb4fa5c4
             | 
          822 Bytes | Preview Download | 
| 
            
            md5:6af07e846a39a393a4241ec1b30da5c9
             | 
          25.5 MB | Preview Download | 
Additional details
              
                Software
              
            
          - Repository URL
 - https://github.com/multi-dimensional-process-mining/ekg_bpic17_decomposing_performance_by_actor_behavior
 - Programming language
 - Python
 - Development Status
 - Active