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Circular Visualization Enhancement through Complementary Interaction

by Hemant Makwana, Sanjay Tanwani, Suresh Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 3
Year of Publication: 2013
Authors: Hemant Makwana, Sanjay Tanwani, Suresh Jain
10.5120/14093-2101

Hemant Makwana, Sanjay Tanwani, Suresh Jain . Circular Visualization Enhancement through Complementary Interaction. International Journal of Computer Applications. 82, 3 ( November 2013), 1-5. DOI=10.5120/14093-2101

@article{ 10.5120/14093-2101,
author = { Hemant Makwana, Sanjay Tanwani, Suresh Jain },
title = { Circular Visualization Enhancement through Complementary Interaction },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 3 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number3/14093-2101/ },
doi = { 10.5120/14093-2101 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:46.312592+05:30
%A Hemant Makwana
%A Sanjay Tanwani
%A Suresh Jain
%T Circular Visualization Enhancement through Complementary Interaction
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 3
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's scenario, most of the applications like web repository generate bulk of heterogeneous data. Visualization helps in the interpretation of meaningful information from huge data generated by these applications. There are many visualization techniques available in literature. Parallel Coordinates, Glyph and Projection techniques are some of the famous data visualization techniques. Projection techniques are unable to illustrate the details of data like inter- tuple variations. Parallel Coordinates have good capacity to express the details, but require more space as well as it is affected from clutter. Trend figure is also affected from clutter up to some extent. Considering the heterogeneous nature of data and limitation of visualization techniques, single visualization technique does not fulfill the analytical requirements of different application domains. But combination of these visualization techniques may fulfill the analytical requirements of applications from different domain. In this work, we have developed a tool, in which Parallel coordinates and trend figure used as interactive techniques with projection technique. The proposed combination reduces the limitation like inter- tuple variations of projection technique. Analysis of data with proposed tool has the potential to uncover other relationships and non-trivial structures.

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Index Terms

Computer Science
Information Sciences

Keywords

Visualization Parallel Coordinates tuple Projection interaction pattern

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