arXiv:2609.14534v1 Announce Type: new
Abstract: Predictive Process Monitoring (PPM) aims at predicting at runtime and as early as possible the future states of a process execution. Common tasks inclu...
By Ana Costa, Johannes M\"akelburg, Luise Pufahl
arXiv:2306.11313v5 Announce Type: replace-cross
Abstract: Point process models are widely used for continuous-time discrete-event data, where each data point includes time and additional information...
By Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
arXiv:2607. 01785v1 Announce Type: new Abstract: Next activity prediction helps service-oriented processes anticipate upcoming steps before delays, exceptions, or service-level risks occur.
By Jiaxing Wang, Kaitao Chen, Zhubin Han, Chenyu Hou, Bin Cao, Jing Fan, Ji Zhang
arXiv:2606. 18726v1 Announce Type: cross Abstract: Structurally constrained event sequence generation remains challenging because generated paths must preserve transition feasibility, temporal order, termination, and attribute consistency.
By Fang Wang, Ernesto Damiani
arXiv:2609.08622v1 Announce Type: cross
Abstract: Predictive process monitoring aims at forecasting various aspects of running processes. Among the different tasks, next activity prediction represent...
By Alessandro Mele, Claudia Diamantini, Domenico Potena
arXiv:2607. 23556v1 Announce Type: cross Abstract: Temporal graphs are increasingly used to model dynamic systems in diverse domains such as social networks, financial networks, and traffic networks.
By Mohammad Ostadmohammadi, Sepehr Kazemi, Hamid R. Rabiee