Mining incomplete data with singleton, subset and concept probabilistic approximations.
Patrick G. ClarkJerzy W. Grzymala-BusseWojciech RzasaPublished in: Inf. Sci. (2014)
Keyphrases
- incomplete data
- bayesian networks
- learning bayesian networks
- missing values
- missing data
- em algorithm
- bayes classifier
- incomplete data sets
- text mining
- knowledge discovery
- data mining techniques
- data sets
- probabilistic model
- typical testors
- variational bayesian
- multiple imputation
- itemsets
- data mining
- frequent patterns
- maximum likelihood
- graphical models
- irrelevant attributes
- probability distribution
- pattern recognition