Search results
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Title
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Abstract visualization of large-scale time-varying data
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Author
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Yu, Li
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Date Created
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2012
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Subjects--Topical
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Computer science, Computer engineering
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Description
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The explosion of large-scale time-varying datasets has created critical challenges for scientists to study and digest. One core problem for visualization is to develop effective approaches that can be used to study various data features and tempor...
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Title
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Interactive Exploratory Visual Analytics Approach for Distributed Spatiotemporal Data
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Author
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Nayeem, Abdullah-Al-Raihan
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Date Created
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2023
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Subjects--Topical
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Computer science, Information science
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Description
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Spatiotemporal visual analysis research is rapidly emerging and evolving, as scientists engaging in cross-domain research efforts, introducing novel systems to perform data-driven spatiotemporal analysis in several domains such as astronomy, clima...
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Title
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Leveraging Visual Analytics for Modeling Online User Behavior on Social Media
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Author
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ElTayeby, Omar
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Date Created
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2020
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Subjects--Topical
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Computer science
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Description
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Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human behavior requires analyzing extensive amounts of data from heterogeneous sources...
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Title
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Scaffolding Reflective Practice with an Ecology of Data-Driven Reflection Support Tools
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Author
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MacNeil, Stephen
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Date Created
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2019
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Subjects--Topical
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Computer science, Education, Psychology
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Description
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Reflection is a process of converting experience into understanding. Through the process of reflection, students actively engage in sense-making around an experience; situating it within their existing experiences, beliefs, and knowledge. Though m...
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Title
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VISUAL ANALYTICS IN HIGH-DIMENSIONAL DATA WITH DICHOTOMOUS OUTCOME
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Author
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Zhang, Chong
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Date Created
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2017
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Subjects--Topical
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Computer science
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Description
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High-dimensional data becomes common in application areas such as environmental studies and healthcare. The high dimensionality presents opportunities for understanding how certain outcomes happen by identifying significant variables contributing ...