Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks.
Patrick G. ClarkJerzy W. Grzymala-BusseZdzislaw S. HippeTeresa MroczekPublished in: Inf. Sci. (2024)
Keyphrases
- incomplete data
- bayesian networks
- learning bayesian networks
- missing values
- missing data
- data mining
- em algorithm
- incomplete data sets
- probabilistic model
- mining maximal
- knowledge discovery
- generative model
- variational bayesian
- databases
- bayes classifier
- closed form
- multiple imputation
- text mining
- typical testors
- frequent patterns
- statistical data
- posterior probability
- sequential patterns
- model selection
- graphical models
- active learning
- neural network