相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Object-centric process predictive analytics
Riccardo Galanti et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
ocpa: A Python library for object-centric process analysis
Jan Niklas Adams et al.
SOFTWARE IMPACTS (2022)
A Survey on Concept Drift in Process Mining
Denise Maria Vecino Sato et al.
ACM COMPUTING SURVEYS (2022)
Multi-Dimensional Event Data in Graph Databases
Stefan Esser et al.
JOURNAL ON DATA SEMANTICS (2021)
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data
Axel Wismueller et al.
SCIENTIFIC REPORTS (2021)
Automated discovery of business process simulation models from event logs
Manuel Camargo et al.
DECISION SUPPORT SYSTEMS (2020)
Discovering Object-centric Petri Nets
Wil M. P. van der Aalst et al.
FUNDAMENTA INFORMATICAE (2020)
A survey of methods for time series change point detection
Samaneh Aminikhanghahi et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2017)
Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces
Abderrahmane Maaradji et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
Massimiliano de Leoni et al.
INFORMATION SYSTEMS (2016)
Dealing With Concept Drifts in Process Mining
R. P. Jagadeesh Chandra Bose et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
Nonlinear connectivity by Granger causality
Daniele Marinazzo et al.
NEUROIMAGE (2011)
Analyzing multiple nonlinear time series with extended Granger causality
YH Chen et al.
PHYSICS LETTERS A (2004)
Workflow mining: Discovering process models from event logs
W van der Aalst et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)
Granger causality and information flow in multivariate processes
KJ Blinowska et al.
PHYSICAL REVIEW E (2004)