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Method for Improving RadViz's Navigation Function Based on Focusing and Filtering
  • Han, Hyunwoo ;
  • Yoon, Taerin ;
  • Ha, Hyoji ;
  • Hong, Juwon ;
  • Lee, Kyungwon
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Publication Year
2018-10-01
Journal
2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018, pp.98-99
Keyword
Information VisualizationMulti-Task classificationRadViz
Mesh Keyword
Information visualizationLarge datasetsMusic dataNavigation functionsRadVizUser study
All Science Classification Codes (ASJC)
Computer Graphics and Computer-Aided DesignMedia TechnologyModeling and Simulation
Abstract
For user to analyze large data set with various attributes as desired, rearranging data based on purpose is vital. This study proposes a method to navigate data with a desired purpose of user by improving RadViz visualization through focusing and filtering. To help understand visualization, user studies were conducted using the music data of Spotify. As a result, our system is discovered to be effective at classifying large data set of music with attributes and navigating desired music efficiently.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36303
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068847639&origin=inward
DOI
https://doi.org/10.1109/ldav.2018.8739161
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8737695
Type
Conference
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