Online Event-driven Subsequence Matching over Financial Data Streams
Summary: Online, event-driven approximate subsequence matching over massive financial streams via online segmentation and pruning to a concise piecewise-linear representation. Permutation-based similarity with a metric distance enables flexible indexing and selective, event-driven search; validated on real stock data for trend prediction. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Huanmei Wu
- 2. Betty Salzberg
- 3. Donghui Zhang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,045 | Indexable PLA for Efficient Similarity Search | 2007 | VLDB | 9.6950855e-05 |
| 2,141 | Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees* | 2009 | VLDB | 9.4561227e-05 |
| 6,401 | Subsequence Matching on Structured Time Series Data | 2005 | SIGMOD | 5.0735622e-05 |
| 6,532 | Effective Variation Management for Pseudo Periodical Streams | 2007 | SIGMOD | 5.0195121e-05 |
| 9,884 | Contour Map Matching for Event Detection in Sensor Networks | 2006 | SIGMOD | 4.2585516e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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