The Polaris Tableau System.
The article reviews another article in the issue which discusses the tools for analyzing high-dimensional datasets, providing an evaluation of the Polaris Tableau System. Polaris is a declarative visual query language which allows users to visualize relationships between data through the use of colo...
| Publicado en: | Communications of the ACM Vol. 51; no. 11; pp. 74 - 75 |
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| Formato: | Artículo |
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Association for Computing Machinery
Nov2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=35211905&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 35211905 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2008 vid: 51 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 35211905 10.1145/1400214.1400233 ppf: 74 ppct: 1 formats: tig: atl: The Polaris Tableau System. aug: au: Gray, Jim su: Database management software Information storage & retrieval systems software Graphical user interfaces User interfaces Data analysis Database management Data libraries sug: subj: Database management software Information storage & retrieval systems software Graphical user interfaces User interfaces Data analysis Database management Data libraries ab: The article reviews another article in the issue which discusses the tools for analyzing high-dimensional datasets, providing an evaluation of the Polaris Tableau System. Polaris is a declarative visual query language which allows users to visualize relationships between data through the use of colors, shapes, sizes, and orientations, the article states. Topics include leveraging the advances of database systems for optimal performance of accesses to large datasets, interactively exploring raw data, and the automatic construction of graphs. Also discussed is the graphical presentation of categorical information. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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