Remaining cycle time prediction with Graph Neural Networks for Predictive Process Monitoring.
Le Toan DuongLouise Travé-MassuyèsAudine SubiasChristophe MerlePublished in: ICMLT (2023)
Keyphrases
- neural network
- predictive model
- prediction model
- artificial neural networks to predict
- artificial neural networks
- prediction accuracy
- pattern recognition
- predictive modeling
- protein function prediction
- neural network ensemble
- bipartite graph
- graph theory
- graph partitioning
- graph structure
- directed graph
- predictive clustering trees
- random walk
- multi layer perceptron
- neural networks and support vector machines
- graph matching
- directed acyclic graph
- prediction algorithm
- graph representation
- genetic algorithm
- historical data
- radial basis function network
- competitive learning
- rule extraction
- activation function
- multi layer
- prediction error
- weighted graph
- neural nets
- back propagation
- data mining