METHODS AND APPARATUS TO IDENTIFY PRIVACY RELEVANT CORRELATIONS BETWEEN DATA VALUES

摘要

Methods, apparatus, systems and articles of manufacture are disclosed to identify privacy relevant correlations between data values. An example disclosed apparatus includes a principal monitor to identify a first privacy value associated with a first principal, a tuple manager to build a probability tuple matrix comprising a first tuple and a plurality of second tuples, the first tuple including the first principal and the associated first privacy value, and an Eigenvector engine to evaluate the probability tuple matrix to identify a dominant Eigenvector indicative of a correlation between the first privacy value and one of the plurality of second tuples.