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"It was really fun to pass her membership check around at the board meeting -- looking at the William Jefferson Clinton and Hillary Rodham Clinton in the corner," said Jackie Rider, the league's president.
Algorithm 2 illustrates the first level of the nested mutual membership check.
Therefore, further examination is required on a second level of a mutual membership check to detect multiple false positives and lower the uncertainties of the outcomes.
Inconsistency: Aggregator A j and the disseminator D i are involved for a first time in a consistent aggregation session but the mutual membership check cannot confirm this.
This mutual membership check detects an exploitation outcome in an aggregation session if and only if M D i A j ⋒ M A j D i : negative.
This condition conflicts with the positive result of the mutual membership check M D i A j ⋒ M A j D i in the first level.
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The uncertainty of this outcome is minimized by the nested mutual membership checks.
The mutual membership checks reactively detect duplicate outcomes not detected during classification due to false positives.
Mutual membership checks provide detection of false positives in the bloom filters of DIAS.
Bloom filter [28] is a notion used in membership checking applications to reduce the memory cost of the data storage.
The two nested mutual membership checks illustrated in Section "First level check" and "Second level check" show how an aggregation session reaches each of the above possible outcomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com