Techniques for Dealing with Missing Values in Classification.
Wei Zhong LiuAllan P. WhiteSimon G. ThompsonMax A. BramerPublished in: IDA (1997)
Keyphrases
- missing values
- missing data
- cost sensitive learning
- incomplete data sets
- multivariate temporal data
- data imputation
- data stream classification
- incomplete data
- multiple imputation
- feature values
- feature vectors
- missing data imputation
- unseen test data
- pattern recognition
- classification accuracy
- missing attribute values
- decision trees
- support vector machine
- model selection
- classification algorithm
- cross validation
- data sets
- text classification
- support vector
- bayesian networks
- feature extraction
- feature selection
- singular value decomposition
- feature selection algorithms
- machine learning algorithms
- missing information
- informative features
- supervised learning
- training data
- data mining