Privacy, Security, and Trust in KDD

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  • Privacy, Security, and Trust in KDD Book Detail

  • Author : Francesco Bonchi
  • Release Date : 2009-05-25
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Pages : 134
  • ISBN 13 : 3642017177
  • File Size : 52,52 MB

Privacy, Security, and Trust in KDD by Francesco Bonchi PDF Summary

Book Description: This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008, held in Las Vegas, NV, USA, in March 2008 in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008. The 5 revised full papers presented together with 1 invited keynote lecture and 2 invited panel sessions were carefully reviewed and selected from numerous submissions. The papers are extended versions of the workshop presentations and incorporate reviewers' comments and discussions at the workshop and represent the diversity of data mining research issues in privacy, security, and trust as well as current work on privacy issues in geographic data mining.

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Privacy, Security, and Trust in KDD

Privacy, Security, and Trust in KDD

File Size : 89,89 MB
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This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008

Privacy, Security, and Trust in KDD

Privacy, Security, and Trust in KDD

File Size : 30,30 MB
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This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008

Privacy, Security, and Trust in KDD

Privacy, Security, and Trust in KDD

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This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2007,

Trust, Security and Privacy for Big Data

Trust, Security and Privacy for Big Data

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"Data has revolutionized the current digital ecosystem. The readily available large datasets foster AI and machine learning automated solutions. However, the da