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
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,418 | Uncertain Time-Series Similarity: Return to the Basics | 2012 | VLDB | 4.7354852e-05 |
| 3,029 | A Decade of Progress in Indexing and Mining Large Time Series Databases | 2006 | VLDB | 7.6803666e-05 |
| 8,228 | Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data | 2007 | VLDB | 4.5549459e-05 |
| 12,276 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 4.1945683e-05 |
| 4,947 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 5.8123636e-05 |
| 10,739 | Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods | 2025 | VLDB | 4.1945683e-05 |
| 4,476 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.1517903e-05 |
| 12,585 | Indexing and Mining Streams | 2004 | SIGMOD | 4.1945683e-05 |
| 5,999 | Time Series Data Mining: A Unifying View | 2023 | VLDB | 5.2415551e-05 |
| 4,888 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 5.8531064e-05 |