Using Change Point Detection for Monitoring the Quality of Aggregate Data

نویسندگان

  • Ian Painter
  • Julie Eaton
  • Bill Lober
چکیده

Introduction Data consisting of counts or indicators aggregated from multiple sources pose particular problems for data quality monitoring when the users of the aggregate data are blind to the individual sources. This arises when agencies wish to share data but for privacy or contractual reasons are only able to share data at an aggregate level. If the aggregators of the data are unable to guarantee the quality of either the sources of the data or the aggregation process then the quality of the aggregate data may be compromised.

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عنوان ژورنال:

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2013