Probabilistic Databases: Diamonds in the Dirt.
The article discusses probabilistic databases, examining software applications that query, search, and aggregate large volumes of imprecise data. The author suggest that the uses of imprecise data include business intelligence in which there is a high cost associated with data cleaning. Traditional,...
| Publicado en: | Communications of the ACM Vol. 52; no. 7; pp. 86 - 95 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Association for Computing Machinery
Jul2009
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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=43019155&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 43019155 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jul2009 vid: 52 iid: 7 pid: 68 pub: Association for Computing Machinery artinfo: ui: 43019155 10.1145/1538788.1538810 ppf: 86 ppct: 9 formats: tig: atl: Probabilistic Databases: Diamonds in the Dirt. aug: au: DALVI, NILESH RÉ, CHRISTOPHER SUCIU, DAN affil: University of Washington, Seattle, WA. su: Database management software Information storage & retrieval systems Database management Business intelligence Data QUERY (Information retrieval system) sug: subj: Database management software Information storage & retrieval systems Database management Business intelligence Data QUERY (Information retrieval system) ab: The article discusses probabilistic databases, examining software applications that query, search, and aggregate large volumes of imprecise data. The author suggest that the uses of imprecise data include business intelligence in which there is a high cost associated with data cleaning. Traditional, precise data applications, which include managed payroll and inventory databases, have no room for imprecise data, the article states. Topics include hiding sensitive attributes of individuals, generic tools needed to manage imprecise data, and modeling imprecise data and probabilistic data. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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