An unsupervised neural network approach for imputation of missing values in univariate time series data.
Nickolas SavarimuthuShobha KaresiddaiahPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- missing values
- multivariate time series
- missing data
- data imputation
- incomplete data
- high dimensional data
- high dimensional
- missing data imputation
- multiple imputation
- dimension reduction
- feature values
- incomplete data sets
- imputation methods
- data matrix
- missing information
- exponential family
- pattern discovery
- anomaly detection
- data points
- probabilistic model
- data analysis
- machine learning