Predicting multi-subsequent events and actors in public health emergencies: An event-based knowledge graph approach
Z Yan, X Zhou, Q Zhang, R Du, J Ren - Computers & Industrial Engineering, 2024 - Elsevier
Public health emergencies trigger series of chain reactions that have devastating impacts on
society. In addition, the subsequent events and actors in public health emergencies …
society. In addition, the subsequent events and actors in public health emergencies …
Online Process Mining: A Systematic Literature Review
A Bouchal, M Radgui - … Conference on Artificial Intelligence and Green …, 2023 - Springer
Process mining is a field that focuses on extracting insights from end-to-end business
processes. In traditional process mining, techniques are applied using batch processing in …
processes. In traditional process mining, techniques are applied using batch processing in …
Machine Learning for Predictive and Prescriptive Process Monitoring
H Weytjens - 2023 - lirias.kuleuven.be
Predictive process monitoring (PredPM) is a relatively young and vibrant research field that
deals with making predictions about business processes. However, until now, few PredPM …
deals with making predictions about business processes. However, until now, few PredPM …
Processm: Intelligent Process Mining Software
TP Pawlak, J Potoniec - Available at SSRN 5036465 - papers.ssrn.com
Contemporary software supports various business processes, such as production, delivery
of goods, sales, and official procedures. However, due to software flexibility, unforeseen …
of goods, sales, and official procedures. However, due to software flexibility, unforeseen …