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    <title>dekstop weblog : Privacy Preserving Data Mining</title>
    <link>http://dekstop.de/weblog/2007/02/privacy_preserving_data_mining/</link>
    <description> Just saw this at a bookstore. Flicked through it, looks great, doesn&apos;t seem like a fluff piece. Lots of mathematical symbols everywhere, transformation methods etc. Will buy lots of stuff like this when I&apos;m rich. Update Look what I found: Privacy Preserving Data Mining Bibliography, a categorized collection of ...</description>
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    <dc:rights>Copyright 2007 Martin Dittus</dc:rights>
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      <title>Privacy Preserving Data Mining</title>
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<p>Just saw this at a bookstore. Flicked through it, looks great, doesn't seem like a fluff piece. Lots of mathematical symbols everywhere, transformation methods etc. Will buy lots of stuff like this when I'm rich.</p>

<p><strong>Update</strong> Look what I found: <a href="http://www.csee.umbc.edu/~kunliu1/research/privacy_review.html">Privacy Preserving Data Mining Bibliography</a>, a categorized collection of papers. The table of contents provides you with a brief overview of the research field.</p>

<p>Judging from the title, the paper you (and I) will want to check out is <a href="http://www.acm.org/sigmod/record/issues/0403/B1.bertion-sigmod-record2.pdf">State-of-the-art in Privacy Preserving Data Mining</a> by V. S. Verykios, E. Bertino, I. N. Fovino, L. P. Provenza, Y. Saygin, Y. Theodoridis (2004).</p>

<p><strong>Update2</strong> del.icio.us tag: <a href="http://del.icio.us/tag/ppdm">ppdm</a>.</p>]]></description>
      <dc:creator>Martin Dittus</dc:creator>
      <category>a new world</category>
      <category>data mining</category>
      <category>konsum</category>
      <category>privacy</category>
      
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