Provenance-and machine learning-based recommendation of parameter values in scientific workflows.
Daniel Silva JuniorEsther PacittiAline PaesDaniel de OliveiraPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- scientific workflows
- parameter values
- machine learning
- parameter settings
- scientific data
- service oriented
- web services
- parameter estimation
- semantic annotation
- provenance information
- workflow systems
- data mining
- parameter space
- optimal parameter values
- file system
- model selection
- knowledge acquisition
- maximum likelihood
- natural language processing
- knowledge representation
- data analysis
- case study
- computer vision
- data collection
- bayesian networks
- similarity measure
- database