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Security Procedures for Decision- and Extended Decision-Region Based Mining Algorithms  (Make Corrections)  
Tom Johnsten, Vijay V. Raghavan



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Abstract: Classi cation mining algorithms can be used to discover protected values from nonsensitive data. We reported earlier on the development of an evaluation algorithm, along with a set of security policies, for use in analyzing a protected data element's risk of disclosure with respect to decision-region based algorithms. This paper presents an extension of the previous work. Speci cally, the development of two new algorithms for evaluating a protected data element's risk of disclosure with... (Update)

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BibTeX entry:   (Update)

@misc{ johnsten-security,
  author = "Tom Johnsten and Vijay V. Raghavan",
  title = "Security Procedures for Decision- and Extended Decision-Region Based Mining
    Algorithms",
  url = "citeseer.ist.psu.edu/695205.html" }
Citations (may not include all citations):
2177   Programs For Machine Learning (context) - Quinlan - 1993
201   Relevance Weighting for Search Terms (context) - Robertson, Jones - 1976
47   Data Mining: The Search for Knowledge in Databases - Holsheimer, Siebes - 1994
5   Protecting Against Data Mining Through Samples (context) - Clifton - 1999
4   Parsimonious Downgrading and Decision Trees Applied to the I.. - Chang, Moskowitz - 1998
4   An Integrated Framework for Database Privacy Protection - Chang, Moskowitz - 2000
1   Impact of Decision-Region Based Classi cation Mining Algorit.. (context) - Johnsten, Raghavan - 1999
1   CART User Manual (context) - Steinberg, Colla - 1997
1   and Marks (context) - Clifton - 1996
http://fas.sfu.ca/cs/people/Grad

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