Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data.
Ikkyun SongYicheng YangJongho ImTong TongHalil CeylanIn Ho ChoPublished in: IEEE Trans. Knowl. Data Eng. (2020)
Keyphrases
- data sets
- data collection
- missing data
- high quality
- prior knowledge
- raw data
- synthetic data
- learning process
- data mining techniques
- engineering design
- missing values
- input data
- data sources
- data structure
- statistical analysis
- original data
- learning algorithm
- noisy data
- experimental data
- training data
- data points
- high dimensional data
- data analysis
- database
- supervised learning
- prediction accuracy
- data quality
- neural network
- engineering education
- e learning
- data processing
- dimensionality reduction
- image data