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Dynamic hierarchical generalization of confidential data in a computer system

机译:计算机系统中机密数据的动态层次化概括

摘要

In an example, a query on a plurality of previously submitted confidential data values for a first cohort having one or more attributes is obtained, and a level in a hierarchy corresponding to an attribute type for the attribute is determined for each attribute. One or more additional cohorts corresponding to different combinations of generalizations of the one or more attributes up one or more levels in each hierarchy corresponding to an attribute type for each attribute are formed. For each cohort, a confidence score and a granularity score are calculated, and then a cohort score is calculated based on a weighted combination of the confidence score and the granularity score. A statistical function is performed on previously submitted confidential data values for a cohort having the highest cohort score, and a response to the query including a result from the statistical function is formed.
机译:在示例中,获得针对具有一个或多个属性的第一群组的多个先前提交的机密数据值的查询,并且针对每个属性确定与该属性的属性类型相对应的层次结构中的级别。形成了与一个或多个属性的概括的不同组合相对应的一个或多个附加群组,在对应于每个属性的属性类型的每个层次结构中,在一个或多个级别中形成了一个或多个级别。对于每个队列,计算置信度分数和粒度分数,然后基于置信度分数和粒度分数的加权组合来计算队列分数。对具有最高群组得分的群组的先前提交的机密数据值执行统计功能,并且形成对查询的响应,包括来自统计功能的结果。

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