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Forecasting Big Time Series: Old and New

Summary: Tutorial on forecasting at scale, spanning classical models, scalable tensor methods, and deep learning for leveraging similarities across massive, heterogeneous time-series collections. Distills practical lessons from building production forecasting systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11909
Venue
VLDB
Year
2018
Pagerank
6.3404905e-05
Overall Rank
5,158 | 64.62%
DOI
10.14778/3229863.3229878

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{faloutsos_vldb18,
        title = {{Forecasting Big Time Series: Old and New}},
        author = {Faloutsos, Christos and Gasthaus, Jan and Januschowski, Tim and Wang, Yuyang},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {12},
        pages = {2102--2105},
        doi = {10.14778/3229863.3229878},
        url = {https://doi.org/10.14778/3229863.3229878},
        year = {2018}
}

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