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Using Sample Size to Limit Exposure to Data Mining

13 years 4 months ago
Using Sample Size to Limit Exposure to Data Mining
Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the "prob abilistic" inferences possible with data mining. This paper shows how lower bounds from pattern recognition theory can be used to determine sample sizes where data mining tools cannot obtain reliable results.
Chris Clifton
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2000
Where JCS
Authors Chris Clifton
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