Prioritization of Near-Miss Incidents Using Text Mining and Bayesian Network.
Abhishek VermaDeeshant RajputJhareswar MaitiPublished in: ICACDS (2016)
Keyphrases
- text mining
- bayesian networks
- graphical models
- natural language processing
- learning bayesian networks
- information retrieval
- structure learning
- conditional independence
- inference in bayesian networks
- web mining
- text categorisation
- probabilistic model
- text data
- text classification
- textual documents
- biomedical literature
- bayesian network inference
- bayesian network classifiers
- probabilistic inference
- conditional probabilities
- text clustering
- text documents
- information extraction
- machine learning
- named entities
- document clustering
- topic models
- parameter learning
- causal relationships
- structural learning
- textual data
- probabilistic reasoning
- knowledge discovery
- probability distribution
- aviation safety
- hot spots
- bayesian network structure
- markov blanket
- incomplete data
- maximum likelihood
- data analysis
- data mining
- topic modeling
- approximate inference
- hidden variables
- latent dirichlet allocation
- random variables
- naive bayes
- uncertain knowledge
- clustering algorithm
- databases