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- W4312887279 abstract "Sketching is a common approach to visually query time series data. However, a recent study reported that sketching a pattern for querying is often ineffective on its own in practice due to lack of representative objects to facilitate bottom-up search. In this demonstration, we present a novel data-driven sketch-based visual query interface (VQI) construction system called SENSOR to alleviate this challenge. Given a time series dataset, SENSOR automatically constructs its VQI by populating different components from the underlying data. Specifically, it discovers and exposes a set of representative objects in the form of VST-aware shapelets to facilitate query formulation. Such data-driven construction has several potential benefits such as empowering efficient top-down and bottom-up search and portability of the interface across different application domains and sources." @default.
- W4312887279 created "2023-01-05" @default.
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- W4312887279 date "2022-08-01" @default.
- W4312887279 modified "2023-09-30" @default.
- W4312887279 title "SENSOR" @default.
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- W4312887279 doi "https://doi.org/10.14778/3554821.3554866" @default.
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