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