(Enter summary)
Abstract: Literature on information integration across databases tacitly assumes
that the data in each database can be revealed to the other
databases. However, there is an increasing need for sharing information
across autonomous entities in such a way that no information
apart from the answer to the query is revealed. We formalize
the notion of minimal information sharing across private databases,
and develop protocols for intersection, equijoin, intersection size,
and equijoin size. We also show how... (Update)
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12: Privacy-preserving data mining
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9: Hippocratic databases
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BibTeX entry: (Update)
R. Agrawal, A. Evfimievski, and R. Srikant. Information sharing across private databases. In Proc. of the 2003. http://citeseer.ist.psu.edu/article/agrawal03information.html More
@misc{ agrawal03information,
author = "R. Agrawal and A. Evfimievski and R. Srikant",
title = "Information sharing across private databases",
text = "R. Agrawal, A. Evfimievski, and R. Srikant. Information sharing across
private databases. In Proc. of the 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/article/agrawal03information.html" }
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The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.almaden.ibm.com/cs/people/srikant/publications.html): More
Mining Generalized Association Rules - Srikant, Agrawal (1995)
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The Quest Data Mining System - Agrawal, Mehta, Shafer, Srikant.. (1996)
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Mining Sequential Patterns: Generalizations And Performance.. - Srikant, Agrawal (1996)
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