TSQ: An Optimized Framework for Efficiently Answering Time Series Queries
Abstract Time series data are pervasive, with a multitude of applications across various fields including science, industry, Entertainment, medicine, and biology. These data sets often encompass large volumes of information. In the context of databases containing time series data, the increasing fre...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Series: | Data Science and Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41019-024-00273-8 |
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