Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework.
Y. Nancy JaneHarichandran Khanna NehemiahArputharaj KannanPublished in: Comput. Stat. Data Anal. (2017)
Keyphrases
- missing values
- multivariate temporal data
- missing data
- cost sensitive learning
- data imputation
- incomplete data sets
- incomplete data
- imputation methods
- missing information
- high dimensional data
- missing data imputation
- pattern recognition
- feature selection
- data stream classification
- feature values
- decision trees
- machine learning
- support vector machine
- unseen data
- multiple imputation
- text classification
- nearest neighbor
- support vector
- classification algorithm
- svm classifier
- probabilistic model
- feature extraction
- face recognition
- missing attribute values
- image processing
- unseen test data