Interactive data analysis tool by augmenting MATLAB with semantic objects

Changhyun Lee, Jaegul Choo, Duen Horng Polo Chau, Haesun Park

Research output: Contribution to conferencePaper

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.

Original languageEnglish
Pages1093-1096
Number of pages4
DOIs
Publication statusPublished - 2013 Jan 1
Externally publishedYes
Event2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013 - Dallas, TX, United States
Duration: 2013 Dec 72013 Dec 10

Conference

Conference2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013
CountryUnited States
CityDallas, TX
Period13/12/713/12/10

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Keywords

  • Clustering dimension reduction
  • Interactive visualization
  • Visual analytics

ASJC Scopus subject areas

  • Software

Cite this

Lee, C., Choo, J., Chau, D. H. P., & Park, H. (2013). Interactive data analysis tool by augmenting MATLAB with semantic objects. 1093-1096. Paper presented at 2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013, Dallas, TX, United States. https://doi.org/10.1109/ICDMW.2013.167