What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction
Process Mining merges data science and process science that allows for the analysis of recorded process data by capturing activities within event-logs. It finds more and more applications for the optimization of the production and administrative processes of private companies and public administrati...
Saved in:
Main Authors: | Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Open Journal of the Computer Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10810467/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Process mining applications in healthcare: a systematic literature review
by: Lerina Aversano, et al.
Published: (2025-01-01) -
Model-enhanced spatial-temporal attention networks for traffic density prediction
by: Qi Guo, et al.
Published: (2024-11-01) -
A congestion prediction method based on trajectory mining algorithm
by: Liu Dongjiang, et al.
Published: (2025-01-01) -
Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems
by: Hao Sun, et al.
Published: (2025-01-01) -
Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis
by: Đurić I., et al.
Published: (2010-01-01)