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,...

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Publicado en:Communications of the ACM Vol. 52; no. 7; pp. 86 - 95
Autores principales: DALVI, NILESH, RÉ, CHRISTOPHER, SUCIU, DAN
Formato: Artículo
Publicado: Association for Computing Machinery Jul2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Probabilistic Databases: Diamonds in the Dirt.
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          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)
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        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
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