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predictive process monitoring

topic2 events
papersTODAY 04:00 UTC

arXiv paper examines multi-task learning for predictive process monitoring

A new arXiv preprint studies whether multi-task learning can improve predictive process monitoring, which forecasts how ongoing organizational processes will unfold so information systems can support proactive analysis rather than just execution. The work situates itself within deep learning approaches that have already raised prediction accuracy in this area, and explores the potential of training related prediction tasks jointly.

multi-task-learning/process-monitoring/deep-learning/research
papersTODAY 04:00 UTC

GNN4PPM: Graph Neural Networks for Multi-Target Predictive Process Monitoring

A new arXiv paper proposes GNN4PPM, which applies relational graph convolutional networks to predictive process monitoring. The method targets several predictions at once, such as the next event in a running process, the time remaining until a trace finishes, and its eventual outcome. The authors argue that existing techniques typically address only one of these targets; the posted abstract is truncated before any experimental results are described.

graph-neural-networks/process-mining/forecasting/research