Paper Info
Title
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects
Abstract
The traditional data analysis tools support strong computational capabilities and numerous standard visualization techniques. However, they provide little visual interactions due to the fact that the tools maintain a wide applicability to diverse data domains, and thus any inherent meanings associated with the data domains are hardly allowed. To cover these limitations, we propose to augment Mat lab, one of the widely used data analysis tools and computational languages, by imposing the capabilities of handling semantic objects so that diverse essential interaction capabilities could be allowed such as brushing-and-linking, details-on-demand, and dynamic interactive updating on visualization. In our demonstration, we will show our audience how to import semantic data, how visual interactions are occurred, and how these functionalities are convenient using the movie similarity graph data set.
Year
DOI
Venue
2013
10.1109/ICDMW.2013.167
ICDM Workshops
Keywords
Field
DocType
computational language,visual interaction,semantic data,diverse data domain,diverse essential interaction capability,movie similarity graph data,augmenting matlab,data analysis tool,data domain,semantic objects,numerous standard visualization technique,traditional data analysis tool,interactive data analysis tool,computational linguistics,data analysis,data visualisation
Data mining,Data visualization,Data domain,Computer science,Visualization,Visual analytics,Interactive visualization,Artificial intelligence,Semantics,Machine learning,Creative visualization,Semantic data model
Conference
ISSN
Citations 
PageRank 
2375-9232
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Changhyun Lee12681136.12
Jaegul Choo255646.81
Duen Horng Chau3126086.87
Haesun Park43546232.42