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A Bayesian approach for on-line max and min auditing
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Authors:
Gerardo Canfora
University of Sannio
Bice Cavallo
University of Sannio
Published in:
· Proceeding
PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society
Pages 12-20
ACM
New York, NY
, USA
©2008
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ISBN: 978-1-59593-965-4
doi>
10.1145/1379287.1379292
2008 Article
Bibliometrics
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· Citation Count: 5
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Tags:
auditing
bayesian network
data mining
design
performance
statistical computing
statistical database
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