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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)

Paper ID
11651
Venue
VLDB
Year
2018
Pagerank
8.3905374e-05
Overall Rank
2,641 | 81.63%
DOI
10.14778/3236187.3236214

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