A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union
Summary: Models ranked subsequence matching as ranked union; introduces MSEQ and MSEQ-distance for lower-bounds and pruning. Cost-aware density-based PQ scheduling eliminates HLMJ overhead; yields up to 2–3 orders of magnitude speedups over HLMJ and PSM on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wook-Shin Han
- 2. Jinsoo Lee
- 3. Yang-Sae Moon
- 4. Seung-won Hwang
- 5. Hwanjo Yu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,982 | A Generic Framework for Efficient and Effective Subsequence Retrieval | 2012 | VLDB | 4.8685999e-05 |
| 11,929 | SMiLer: A Semi-Lazy Time Series Prediction System for Sensors | 2015 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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