| Summary: | 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.
|
|---|