AI RESEARCH
Neuro-Symbolic Predictive Process Monitoring
arXiv CS.AI
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ArXi:2509.00834v2 Announce Type: replace This paper addresses the problem of suffix prediction in Business Process Management (BPM) by proposing a Neuro-Symbolic Predictive Process Monitoring (PPM) approach that integrates data-driven learning with temporal logic-based prior knowledge. While recent approaches leverage deep learning models for suffix prediction, they often fail to satisfy even basic logical constraints due to the lack of explicit integration of domain knowledge during