Improving symbolic data visualization for pattern recognition and knowledge discovery

This paper examines the visualization of symbolic data and considers the challenges rising from its complex structure. Symbolic data is usually aggregated from large data sets and used to hide entry specific details and to transform huge amounts of data (like big data) into analyzable quantities. It...

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Bibliographic Details
Main Authors: Kadri Umbleja, Manabu Ichino, Hiroyuki Yaguchi
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Visual Informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X19300014