TSseek approximates time series as line segments and regex queries as bounding rectangles, then uses a distributed spatial index (TSseek-X) to support efficient exact whole-matching and subsequence-matching queries.
In2019 IEEE 35th International Conference on Data Engineering (ICDE)
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Quantization methods for SNNs produce different firing distributions at equivalent accuracy, and Earth Mover's Distance diagnoses this divergence better than accuracy alone.
citing papers explorer
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TSseek: Regular Expression-Based Similarity Search for Distributed Time Series Datasets
TSseek approximates time series as line segments and regex queries as bounding rectangles, then uses a distributed spatial index (TSseek-X) to support efficient exact whole-matching and subsequence-matching queries.
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Quantization of Spiking Neural Networks Beyond Accuracy
Quantization methods for SNNs produce different firing distributions at equivalent accuracy, and Earth Mover's Distance diagnoses this divergence better than accuracy alone.