An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining.
Andreas ThöniAlfred TaudesA Min TjoaPublished in: Inf. Syst. E Bus. Manag. (2018)
Keyphrases
- text mining
- bayesian networks
- information systems
- posterior probability
- information technology
- supply chain
- natural language processing
- structure learning
- information retrieval
- maximum likelihood
- probabilistic reasoning
- text categorisation
- biomedical literature
- textual data
- web mining
- text classification
- probabilistic model
- probability distribution
- graphical models
- inference in bayesian networks
- text documents
- information extraction
- expert knowledge
- data mining
- decision makers
- supplier selection
- lead time
- probabilistic inference
- conditional probabilities
- document clustering
- knowledge management
- health care
- topic models
- incomplete data
- data analysis
- young children
- textual documents
- learning bayesian networks
- naive bayes
- conditional independence
- service level
- structural models