Bibliography Details
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Charu~C. Aggarwal and Philip~S. Yu, "On Anonymization of String Data," in SDM, 2007.
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On Anonymization of String Data
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Authors:
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Charu C. Aggarwal
Philip S. Yu
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Published:
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SDM, 2007
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URL:
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www.charuaggarwal.net/strpost.pdf
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ENTRY DATE:
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2008-06-16
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ABSTRACT:
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String data is especially important in the privacy preserving
data mining domain because most DNA and biological data
is coded as strings. In this paper, we will discuss a new
method for privacy preserving mining of string data with
the use of simple template based condensation models. The
template based model turns out to be effective in practice,
and preserves important statistical characteristics of the
strings.
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Cooperative Association for Internet Data Analysis (CAIDA)