Forecasting Big Time Series: Old and New
Summary: Tutorial surveying large-scale time-series forecasting across classical models, scalable tensor methods, and deep learning. Emphasizes leveraging similar series, big-data challenges, and practical lessons from building scalable forecasting systems, with technical details. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christos Faloutsos
- 2. Jan Gasthaus
- 3. Tim Januschowski
- 4. Yuyang Wang
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,476 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.1458665e-05 |
| 8,740 | A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | 2024 | VLDB | 4.4520434e-05 |
| 8,991 | TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications | 2023 | VLDB | 4.4113784e-05 |
| 10,128 | WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models | 2026 | SIGMOD | 4.1905499e-05 |
| 11,080 | A Flexible Forecasting Stack | 2024 | VLDB | 4.1905499e-05 |
| 11,147 | Weakly Guided Adaptation for Robust Time Series Forecasting | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 183 | Automatic Database Management System Tuning Through Large-scale Machine Learning | 2017 | SIGMOD | 0.00036859633 |
| 704 | Query-based Workload Forecasting for Self-Driving Database Management Systems | 2018 | SIGMOD | 0.00017785557 |
| 783 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00016648503 |
| 2,429 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.8285306e-05 |
| 2,893 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD | 7.9547451e-05 |
| 5,265 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 5.5950627e-05 |
| 5,489 | Adaptive, Hands-Off Stream Mining | 2003 | VLDB | 5.4790681e-05 |
| 12,284 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 4.1905499e-05 |
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