Aggregation and generation of confidential data insights with confidence values

摘要

In an example, a plurality of previously submitted confidential data values of a first confidential data type retrieved for a slice having one or more attributes. For a confidential data type, one or more submitted confidential data values of the confidential data type from the slice that are considered outliers based on an external data set or internal data set. A confidence score is calculated by multiplying a support score for the confidential data type in the slice by a non-outlier score for the confidential data type in the slice, the support score being equal to n′/(n′+c), where c is a smoothing constant and n′ is the number of non-excluded submitted confidential data values of the confidential data type in the slice and the non-outlier score being equal to n′/n, where n is the total number of non-null submitted confidential data value of the confidential data type in the slice.