Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

1 code implementation • 14 Dec 2023 • Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich

Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion.

Activity Prediction Predictive Process Monitoring

Online anomaly detection using statistical leverage for streaming business process events

1 code implementation • 1 Mar 2021 • Jonghyeon Ko, Marco Comuzzi

The proposed approach has been evaluated on both artificial and real event streams.

Anomaly Detection

An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs

no code implementations • 24 Aug 2020 • Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko

While there is a general understanding that ensembles perform well in predictive monitoring of business processes, next event prediction is a task for which no other benchmarks involving ensembles are available.