Last edited by JoJozshura
Tuesday, July 21, 2020 | History

1 edition of Diophantine inferences from statistical aggregates on few-valued attributes found in the catalog.

Diophantine inferences from statistical aggregates on few-valued attributes

Neil C. Rowe

Diophantine inferences from statistical aggregates on few-valued attributes

by Neil C. Rowe

  • 199 Want to read
  • 11 Currently reading

Published by Naval Postgraduate School in Monterey, California .
Written in English

    Subjects:
  • Diophantine equations,
  • Statistics,
  • Databases,
  • Number theory

  • About the Edition

    Research on protection of statistical databases from revelation of private or sensitive information has rarely examined situations where domain-dependent structure exits for a data attribute such that only a very few independent variables can characterize it. Such circumstances can lead to Diophantine (integer-solution) equations whose solution can lead to surprising or compromising inferences on quite large data populations. In many cases the Diophantine equations are linear, allowing efficient algorithmic solution. Probabilistic models can also be used to rank solutions by reasonability, further pruning the search space. Unfortunately, it is difficult to protect against this form of data compromise, and all countermeasures have disadvantages. (Author)

    Edition Notes

    Statement[by] Neil C. Rowe
    ContributionsNaval Postgraduate School (U.S.)
    The Physical Object
    Pagination8 p. ;
    ID Numbers
    Open LibraryOL25516147M
    OCLC/WorldCa460587726


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Diophantine inferences from statistical aggregates on few-valued attributes by Neil C. Rowe Download PDF EPUB FB2

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