Tucker factorization-based tensor completion for robust traffic data imputation

Keyphrases

• ADMM Algorithm 50%
• Bregman 50%
• Completion Method 50%
• Computational Efficiency 50%
• Data Quality 50%
• Data-driven Analysis 50%
• High Missing Rates 50%
• Hyperparameters 50%
• Imputation Methods 50%
• Missing Data 50%
• Missing Pattern 100%
• Nonconvex Optimization 50%
• Potential Gains 50%
• Rank Minimization 50%
• Spatio-temporal Correlation 50%
• Spatio-temporal Outlier 50%
• Spatiotemporal Traffic Data 50%
• Temporal Modeling 50%
• Tensor Completion 100%
• Tensor Factorization 50%
• Tensor Rank 50%
• Time Series Decomposition 50%
• Traffic Data Imputation 100%
• Traffic Dynamics 50%
• Traffic State 50%
• Tucker Factorization 100%

Mathematics

• Data Imputation 100%
• Factorization 100%
• Imputation Method 33%
• Missing Pattern 66%
• Missing Value 33%
• Outlier 33%
• Temporal Correlation 33%
• Tensor 100%
• Time Series Decomposition 33%

Computer Science

• Dynamic Traffic 100%
• Leaning Parameter 100%
• Potential Benefit 100%
• Temporal Correlation 100%
• Temporal Modeling 100%