Enhancing Discovered Process Models Using Bayesian Inference and MCMC.
Gert JanssenswillenBenoît DepaireChristel FaesPublished in: Business Process Management Workshops (2020)
Keyphrases
- bayesian inference
- process model
- markov chain monte carlo
- process mining
- probabilistic model
- business processes
- prior information
- business process
- hyperparameters
- expectation propagation
- variational bayes
- bayesian model
- particle filter
- gibbs sampler
- event logs
- petri net
- artificial neural networks
- variational inference
- software process
- artificial intelligence
- code generator