Data-driven construction of visual query interface for timeseries data
This paper proposes an innovative way to define “hard-to-draw” patterns from time series data instances. These patterns are essentially time series shapelets, which are small, local patterns in a time series that are highly predictive of a class and very useful for visualization and summarization ta...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148799 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This paper proposes an innovative way to define “hard-to-draw” patterns from time series data instances. These patterns are essentially time series shapelets, which are small, local patterns in a time series that are highly predictive of a class and very useful for visualization and summarization tasks. A GUI is then derived based on the pruning rules. It automatically generates hard-to-draw shapelets and display to user, which user can just simply drag to the canvas and complete the hand-drawn queries more efficiently. |
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