Mining and Forecasting of Big Time-series Data
Summary: Concise tutorial on mining and forecasting big time-series, covering similarity search, pattern discovery, linear/nonlinear modeling, forecasting, and tensor analysis. Emphasizes automatic mining (no parameter tuning) with intuition and practical case studies for scalable data management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yasushi Sakurai (Kumamoto University)
- 2. Yasuko Matsubara (Kumamoto University)
- 3. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@inproceedings{sakurai_sigmod15,
title = {{Mining and Forecasting of Big Time-series Data}},
author = {Sakurai, Yasushi and Matsubara, Yasuko and Faloutsos, Christos},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2731081},
url = {https://dl.acm.org/doi/10.1145/2723372.2731081},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,923 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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