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Creators/Authors contains: "Dang, Tommy"

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  1. ; ; ; ; ; (, IEEE)
  2. ; ; ; ; ; (, IEEE)
  3. ; ; ; ; ; (, IEEE Access)
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  4. ; ; ; ; ; (, Proceedings of the ACM 5th International Workshop on System and Network Telemetry and Analytics (SNTA'22), in conjunction with The 31st International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'22), 2022.)
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  5. ; ; (, The Journal of Supercomputing)
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  6. ; ; (, 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021)
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  7. ; ; ; (, ACM)
  8. ; ; ; ; ; (, VisGap2021 - The Gap between Visualization Research and Visualization Software)
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  9. ; ; ; ; ; (, Proceedings of Practice and Experience in Advanced Research Computing Conference Series (PEARC'20))
    null (Ed.)
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  10. ; ; ; ; ; (, PEARC '20: Practice and Experience in Advanced Research Computing)
    null (Ed.)
    This showcase presents a visual approach based on clustering and superimposing to construct a high-level overview of sequential event data while balancing the amount of information and the cardinality in it. We also implement an interactive prototype, called RadarViewer , that allows domain analysts to simultaneously analyze sequence clustering, extract useful distribution patterns, drill multiple levels-of-detail to accelerate the analysis. The RadarViewer is demonstrated through case studies with real-world temporal datasets of different sizes. 
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