Selection-fusion approach for classification of datasets with missing values.
Mostafa Ghannad-RezaieHamid Soltanian-ZadehHao YingMing DongPublished in: Pattern Recognit. (2010)
Keyphrases
- missing values
- data imputation
- imputation methods
- missing data
- cost sensitive learning
- incomplete data sets
- missing data imputation
- unseen test data
- pattern recognition
- multivariate temporal data
- incomplete data
- feature values
- data stream classification
- support vector machine
- multiple imputation
- support vector
- missing attribute values
- classification algorithm
- classification accuracy
- feature vectors
- feature space
- machine learning algorithms
- feature extraction
- supervised learning
- machine learning
- data sets
- feature selection algorithms
- data cleaning
- model selection
- text classification
- training set
- neural network