Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods.
Ashokkumar PalanivinayagamRobertas DamaseviciusPublished in: Inf. (2023)
Keyphrases
- missing values
- data imputation
- imputation methods
- missing data
- cost sensitive learning
- multivariate temporal data
- data stream classification
- pattern recognition
- incomplete data sets
- feature values
- unseen test data
- missing data imputation
- high dimensional data
- machine learning
- missing attribute values
- incomplete data
- classification accuracy
- classification algorithm
- classification rules
- class labels
- model selection
- support vector
- feature extraction
- decision trees
- data sets
- cost sensitive
- text classification
- support vector machine
- feature vectors
- image processing