heshuis / CICAR

Causal Analysis with Causal Association Rule Method

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CICAR

Case Interventions with Causal Association Rules

The 'src' folder contains Python code for the paper "Improving Business Process Outcomes by Mining Causal Rules from Event Logs" by Rik Eshuis and Laura Genga. The code implements the method Causal Analysis with Case Interventions with Causal Association Rules that is presented in the paper, and applies the implemented method to the preprocessed data sets of the BPI challenge 2017 & 20018 and the Road Traffic fine data set.

The 'results' folder contains the analysis results discussed in the paper.

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Causal Analysis with Causal Association Rule Method

License:GNU General Public License v3.0


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