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Privacy-Preserving Data Mining

Summary: Privacy-preserving data mining: build models from perturbed training data without access to exact individual records. Introduces a reconstruction procedure to recover the original-data distributions, enabling decision-tree classifiers with accuracy close to that achieved with original data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3205
Venue
SIGMOD
Year
2000
Pagerank
0.00074232718
Overall Rank
40 | 99.73%
DOI
-

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Showing 1 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
12,616 Privacy in Data Systems 2003 PODS 4.1945683e-05
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Showing 6 of 6 cited papers.

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