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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changhyun Lee Jaegul Choo Duen Horng Chau Haesun Park |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Comput. Sci. & Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Changhyun Lee; Jaegul Choo; Duen Horng Chau; Haesun Park) |
| 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 Matlab, 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. |
| Sponsorship | Toshiba |
| Starting Page | 1093 |
| Ending Page | 1096 |
| File Size | 381924 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479931422 |
| DOI | 10.1109/ICDMW.2013.167 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Data analysis Semantics Heating Data visualization visual analytics Motion pictures interactive visualization MATLAB clustering dimension reduction |
| Content Type | Text |
| Resource Type | Article |
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