期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：7
页码：2092-2107
出版社：Journal of Theoretical and Applied
摘要：Parallel coordinates are well-known visualization tool for high and multi-dimensional datasets. However, data cluttering and over plotting data are major issues for parallel coordinates and becoming worst in the era of Big Data. Thus, edge-bundling technique has overcome the aforementioned problems by bundling similar edges in parallel coordinates. This paper provides in-depth reviews on six approaches of edge-bundling techniques which are cost-based approach, geometry-based approach, image-based approach, force-directed edge-bundling approach, divided edge-bundling approach and lastly, hierarchical edge-bundling approach. On top of that, these particular approaches are able to reduce the visual clutter without changing the positions of the nodes and only the shapes of edges have some changes. Based on the findings, each approach supports certain features of parallel coordinates such as shape, scale, weight, position, direction and length. This paper suggests a relationship diagram for all these features. The relationship model was proposed in order to improve data visualization by removing data clutter. In summation, edge-bundling techniques are applicable to parallel coordinates in order to visualize multivariate datasets.
关键词：Parallel Coordinates; Edge-bundling; Data Visualization; Information Visualize; Big Data
