A Survey on Tensor-Based Spatiotemporal Data Imputation: Knowledge Engineering Perspectives and Modeling Strategies
Missing spatiotemporal data is prevalent in domains like traffic forecasting, meteorological analysis, and urban management. Tensor decomposition has emerged as a prominent technique for spatiotemporal data imputation due to its capability to model multi-dimensional interactions. Recent research demonstrates that incor...