Chameleons do not Forget: Prompt-Based Online Continual Learning for Next Activity Prediction
Predictive process monitoring (PPM) focuses on predicting future process trajectories, including next activity predictions. This is crucial in dynamic environments where processes change or face uncertainty. However, current frameworks often assume a static environment, overlooking dynamic characteristics and concept drifts. This results in catastrophic forgetting, where training while focusing merely on new data distribution negatively impacts the performance on previously learned data distributions. Continual learning addresses, among others, the challenges related to mitigating catastrophic forgetting. This paper proposes a novel approach called Continual Next Activity Prediction with ...
| Authors | Marwan Hassani, Tamara Verbeek, Sjoerd van Straten |
|---|---|
| Primary category | cs.LG |
| Published | 1 April 2026 |
| Last updated at source | 2 April 2026 |
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