Earthquake Fingerprints: Extracting Waveform Features for Similarity-Based Earthquake Detection
Earthquake Fingerprints: Extracting Waveform Features for Similarity-Based Earthquake Detection is a scholarly work, published in 2018 in ''Pure and Applied Geophysics''. The main subjects of the publication include data mining, artificial intelligence, feature extraction, noise, computer science, similarity, waveform, thresholding, glossary of archaeology, benchmark, fingerprint, pattern recognition, and earthquake prediction. The authors have previously introduced Fingerprint and Similarity Thresholding (FAST), a new method for waveform-similarity-based earthquake detection that uses a pattern mining approach to detect earthquake signals without template waveforms.