Fast Algorithms for Time Series with applications to Finance, Physics, Music, Biology, and other Suspects
Summary: A database-focused tutorial on high-performance time-series methods across finance, physics, music, and biology: sliding-window correlations, burst detection, hum-to-music matching, and time-ordered data management. Draws on High Performance Discovery in Time Series, with case studies and open problems for streams and scientific computing. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Alberto Lerner
- 2. Dennis Shasha
- 3. Zhihua Wang
- 4. Xiaojian Zhao
- 5. Yunyue Zhu
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,276 | Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series | 2020 | VLDB | 9.1261944e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00062029383 |
| 666 | The Design and Implementation of a Sequence Database System | 1996 | VLDB | 0.00018449748 |
| 699 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB | 0.00018015254 |
| 6,120 | Lots o' Ticks: real-time high performance time series queries on billions of trades and quotes | 2001 | SIGMOD | 5.2008141e-05 |
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