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: IJCRS (2021)
Keyphrases
- incomplete data
- bayesian networks
- missing data
- learning bayesian networks
- missing values
- mining maximal
- em algorithm
- incomplete data sets
- generative model
- probabilistic model
- data mining
- bayes classifier
- posterior probability
- typical testors
- graphical models
- frequent patterns
- knowledge discovery
- conditional probabilities
- learning algorithm
- training data
- structure learning
- itemsets
- computer vision
- missing attribute values
- text mining
- proximal point
- data mining techniques