Using deep learning to interpolate the missing data in time-series for credit risks along supply chain.
Wenfeng ZhangMing K. LimMei YangXingzhi LiDu NiPublished in: Ind. Manag. Data Syst. (2023)
Keyphrases
- missing data
- deep learning
- supply chain
- supply chain management
- decision making
- missing values
- unsupervised learning
- bullwhip effect
- machine learning
- lead time
- dual sourcing
- incomplete data
- risk management
- mental models
- service level
- weakly supervised
- stock market
- decision trees
- feature selection
- computer vision
- knowledge discovery
- probabilistic model
- k means
- pattern recognition
- data mining
- neural network