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Showing 1 to 5 of 5 for “"Zenvisage"”.
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Effortless data exploration with zenvisage: an expressive and interactive visual analytics system
… cumbersome and time-consuming. We propose zenvisage, a platform for effortlessly visualizing interesting patterns, trends, or insights from large datasets. We describe zenvisage's general purpose visual query language, ZQL (""zee-quel"") for specifying the desired visual trend, pattern, or …
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Towards a scripting language for visual data exploration
… largely manual, consuming valuable man-hours. Zenvisage automates the search for desired visual patterns, speeding up visual exploration. It does so through a query language, ZQL, that encapsulates the key data analysis operations such as comparison, sorting, filtering, and composition. …
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Towards expressive and scalable visual data exploration
… In particular, we propose two systems: 1) Zenvisage—for effortlessly and efficiently finding visualizations with specific patterns or insights among large collections, and 2) ShapeSearch—for finding visualizations based on fine grained and fuzzy patterns. Both Zenvisage and ShapeSearch draw …
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Enabling effective visual data exploration for solvent discovery in material science
… process remaining overwhelming and error-prone. Zenvisage automates the process of querying for desired visual patterns, thereby speeding up visual exploration. In this work, we collaborate with material scientists, whose goal is to identify battery solvents with favorable properties while …
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Assisting data exploration via in-situ adaptive visualizations
… how predecessor visual analytics tools such as Zenvisage that we contributed to guided the development of Lux.