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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)

Paper ID
4963
Venue
SIGMOD
Year
2015
Pagerank
4.2561557e-05
Overall Rank
9,920 | 30.99%
DOI
10.1145/2723372.2731081

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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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