ChainLink - Indexing Big Time Series Data For Long Subsequence Matching

ICDE, pp. 529-540, 2020.

Cited by: 0|Bibtex|Views23|DOI:https://doi.org/10.1109/ICDE48307.2020.00052
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Scalable subsequence matching is critical for supporting analytics on big time series from mining, prediction to hypothesis testing. However, state-of-the-art subsequence matching techniques do not scale well to TB-scale datasets. Not only does index construction become prohibitively expensive, but also the query response time deteriorate...More

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