Detecting Surprising Situations in Event Data

no code implementations • 29 Aug 2022 • Christian Kohlschmidt, Mahnaz Sadat Qafari, Wil M. P. van der Aalst

We define a process enhancement area as a set of situations (process instances or prefixes of process instances) where the process performance is surprising.

Outlier Detection

Feature Recommendation for Structural Equation Model Discovery in Process Mining

no code implementations • 13 Aug 2021 • Mahnaz Sadat Qafari, Wil van der Aalst

Considering the volume of the data and the number of features captured by the information system of today's companies, the task of discovering the set of features that should be considered in root cause analysis can be quite involving.

BIG-bench Machine Learning Model Discovery

Case Level Counterfactual Reasoning in Process Mining

no code implementations • 25 Feb 2021 • Mahnaz Sadat Qafari, Wil van der Aalst

This is the reason we advocate the use of structural equation models and counterfactual reasoning.

Causal Inference counterfactual +1

Fairness-Aware Process Mining

no code implementations • 28 Aug 2019 • Mahnaz Sadat Qafari, Wil van der Aalst

In this paper, we present a solution to this problem by creating a fair classifier for such situations.

Fairness