Mining incomplete data with many attribute-concept values and "do not care" conditions.
Patrick G. ClarkJerzy W. Grzymala-BussePublished in: IEEE BigData (2015)
Keyphrases
- incomplete data
- missing attribute values
- attribute values
- missing data
- learning bayesian networks
- missing values
- bayesian networks
- irrelevant attributes
- em algorithm
- knowledge discovery
- data mining
- text mining
- multiple attributes
- incomplete data sets
- data sets
- multiple imputation
- data mining algorithms
- machine learning
- bayes classifier
- models built
- variational bayesian
- health care
- feature extraction
- decision trees
- proximal point