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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JMJNL8
Repositorysid.inpe.br/sibgrapi/2015/06.18.22.13
Last Update2015:06.18.22.13.41 (UTC) jorgehpo@gmail.com
Metadatasid.inpe.br/sibgrapi/2015/06.18.22.13.41
Metadata Last Update2020:02.19.02.14.03 (UTC) administrator
Citation KeyOnoSiCoPaPaNo:2015:ViExMu
TitleConcentric RadViz: Visual Exploration of Multi-Task Classification
FormatOn-line
Year2015
Access Date2021, Dec. 07
Number of Files1
Size1887 KiB
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Author1 Ono, Jorge Henrique Piazentin
2 Sikansi, Fabio
3 Corrêa, Débora Cristina
4 Paulovich, Fernando Vieira
5 Paiva, Afonso
6 Nonato, Luis Gustavo
Affiliation1 ICMC - USP
2 ICMC - USP
3 ICMC - USP
4 ICMC - USP
5 ICMC - USP
6 ICMC - USP
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addressjorgehpo@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-18 22:13:41 :: jorgehpo@gmail.com -> administrator ::
2020-02-19 02:14:03 :: administrator -> :: 2015
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsRadViz
Multi-task classification
Information Visualization
AbstractThe discovery of patterns in large data collections is a difficult task. Visualization and machine learning techniques have emerged as a way to facilitate data analysis, providing tools to uncover relevant patterns from the data. This paper presents Concentric RadViz, a general purpose class visualization system that takes into account multi-class, multi-label and multi-task classifiers. Concentric RadViz uses a force attenuation scheme, which minimizes cluttering and ambiguity in the visual layout. In~addition, the user can add concentric circles to the layout in order to represent classification tasks. Our validation results and the application of Concentric RadViz for two real collections suggest that this tool can reveal important data patterns and relations. In our application, the user can interact with the visualization by selecting regions of interest according to specific criteria and changing projection parameters.
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zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMJNL8
Languageen
Target FilePID3770563.pdf
User Groupjorgehpo@gmail.com
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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