Analyzing business process anomalies using autoencoders

@article{Nolle2018AnalyzingBP,
  title={Analyzing business process anomalies using autoencoders},
  author={Timo Nolle and Stefan Luettgen and Alexander Seeliger and Max M{\"u}hlh{\"a}user},
  journal={Machine Learning},
  year={2018},
  pages={1-19}
}
Businesses are naturally interested in detecting anomalies in their internal processes, because these can be indicators for fraud and inefficiencies. Within the domain of business intelligence, classic anomaly detection is not very frequently researched. In this paper, we propose a method, using autoencoders, for detecting and analyzing anomalies occurring in the execution of a business process. Our method does not rely on any prior knowledge about the process and can be trained on a noisy… CONTINUE READING
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