Editorial Board
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation
Bilateral knowledge graph enhanced online course recommendation
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data
Weighted top-k dominating queries on highly incomplete data
BPMN in healthcare: Challenges and best practices
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers
Privacy-preserving location data stream clustering on mobile edge computing and cloud
Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Exploring computation offloading in IoT systems
Discovering data transfer routines from user interaction logs
Measuring the interestingness of temporal logic behavioral specifications in process mining
Entropic relevance: A mechanism for measuring stochastic process models discovered from event data
Petri net-based object-centric processes with read-only data