Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science
Summary: LSH-based similarity search on seismic time series for earthquake detection; case study on scaling from a single station to multi-station, multi-year workloads. End-to-end optimizations yield >100x speedup, enabling discovery of 597 earthquakes near Diablo Canyon and 6,123 in New Zealand. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kexin Rong
- 2. Clara E. Yoon
- 3. Karianne J. Bergen
- 4. Hashem Elezabi
- 5. Peter Bailis
- 6. Philip Levis
- 7. Gregory C. Beroza
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076637636 |
| 400 | Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search | 2007 | VLDB | 0.0002427237 |
| 539 | Fast Time Sequence Indexing for Arbitrary L_p Norms | 2000 | VLDB | 0.00020666392 |
| 1,161 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013585236 |
| 1,396 | Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search | 2012 | SIGMOD | 0.00012204748 |
| 2,870 | Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing | 2013 | VLDB | 7.9799783e-05 |
| 3,459 | An Empirical Evaluation of Set Similarity Join Techniques | 2016 | VLDB | 7.072508e-05 |
| 3,514 | Spatio-Textual Similarity Joins | 2013 | VLDB | 7.0226998e-05 |
| 6,798 | Searching Web Data using MinHash LSH | 2016 | SIGMOD | 4.9235251e-05 |
| 7,210 | Set-based Similarity Search for Time Series | 2016 | SIGMOD | 4.799457e-05 |
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