The scope of the special session includes but is not limited to the following:

Temporal data clustering
Classification and regression of univariate and multivariate time series
Early classification of temporal data
Deep learning for temporal data
Learning representation for temporal data
Metric and kernel learning for temporal data
Modeling temporal dependencies
Time series forecasting
Time series annotation, segmentation, and anomaly detection
Spatial-temporal statistical analysis
Functional data analysis methods
Data streams
Interpretable/explainable time-series analysis methods
Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges
Benchmarking and assessment methods for temporal data
Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data