Search Results - "2019 IEEE Visualization in Data Science (VDS)"

Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure by Wenskovitch, John, Zhao, Jian, Carter, Scott, Cooper, Matthew, North, Chris

“…Computational notebooks have become a major medium for data exploration and insight communication in data science. Although expressive, dynamic, and flexible,…”
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Task-Oriented Optimal Sequencing of Visualization Charts by Shi, Danqing, Shi, Yang, Xu, Xinyue, Chen, Nan, Fu, Siwei, Wu, Hongjin, Cao, Nan

“…A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts. It provides information details…”
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DELFI: Mislabelled Human Context Detection Using Multi-Feature Similarity Linking by Mansoor, Hamid, Gerych, Walter, Buquicchio, Luke, Chandrasekaran, Kavin, Agu, Emmanuel, Rundensteiner, Elke

“…Context Aware (CA) systems that adapt to user behaviors have many real-world uses. CA systems require accurately labeled training data to learn models of…”
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Pollux: Interactive Cluster-First Projections of High-Dimensional Data by Wenskovitch, John, North, Chris

“…Semantic interaction is a technique relying upon the interactive semantic exploration of data. When an analyst manipulates data items within a visualization,…”
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Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries by Pham, Vung, Dang, Tommy

“…This paper presents an approach to analyzing two-dimensional temporal datasets focusing on identifying observations that are significant in calculating the…”
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A Visual Analytics Framework for Analyzing Parallel and Distributed Computing Applications by Li, Jianping Kelvin, Fujiwara, Takanori, Kesavan, Suraj P., Ross, Caitlin, Mubarak, Misbah, Carothers, Christopher D., Ross, Robert B., Ma, Kwan-Liu

“…To optimize the performance and efficiency of HPC applications, programmers and analysts often need to collect various performance metrics for each computer at…”
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Sherpa: Leveraging User Attention for Computational Steering in Visual Analytics by Cui, Zhe, Kancherla, Jayaram, Bravo, Hector Corrada, Elmqvist, Niklas

“…We present Sherpa, a computational steering mechanism for progressive visual analytics that automatically prioritizes computations based on the analyst's…”
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