Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD.
Gou MasudaRei YanoNorihiro SakamotoKazuo UshijimaPublished in: PKDD (1999)
Keyphrases
- bayesian networks
- knowledge discovery in databases
- knowledge discovery
- knowledge discovery and data mining
- data mining
- association rules
- attribute values
- knowledge discovery from databases
- probabilistic model
- probabilistic inference
- formal concepts
- graphical models
- inference in bayesian networks
- learning bayesian networks
- probabilistic reasoning
- discovery process
- incomplete data
- structure learning
- conditional independence
- probabilistic modeling
- bayesian network classifiers
- hidden variables
- kdd process
- data mining techniques
- probability distribution
- attribute value pairs
- san francisco
- multiply sectioned bayesian networks
- causal relationships
- bayesian belief networks
- interactive visualization
- expert knowledge
- inductive logic programming
- random variables
- naive bayes
- rough sets
- text mining
- machine learning