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Classical and Contemporary Approaches to Big Time Series Forecasting

Summary: Tutorial surveying big time-series forecasting for data management: classical models, scalable tensor methods, and deep learning. Discusses learning from large, diverse corpora, leveraging similar series, and building scalable forecasting systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5645
Venue
SIGMOD
Year
2019
Pagerank
6.1517903e-05
Overall Rank
4,476 | 68.87%
DOI
10.1145/3299869.3314033

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