Methods and apparatus to identify privacy relevant correlations between data values
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United States of America Patent
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Dec 15, 2015
Grant Date -
Apr 2, 2015
app pub date -
Sep 27, 2013
filing date -
Sep 27, 2013
priority date (Note) -
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Abstract
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.
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