On the design and quantification of privacy preserving data mining algorithms

Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Volumn , Issue , 2001, Pages 247-255

  Agrawal, D ^a   Aggarwal, C C ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATA RECORDING; DATA REDUCTION; DATABASE SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; PERTURBATION TECHNIQUES; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RANDOM PROCESSES;

EXPECTATION MAXIMIZATION (EM) ALGORITHMS;

DATA PRIVACY;

EID: 0034827009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/375551.375602     Document Type: Conference Paper

References (16)

1. Privacy preserving data mining
2. Security and privacy implications of data mining
3. Special issue on internet privacy
4. Data swapping: Balancing privacy against precision in mining for logic rule
5. Privacy intefaces for information management
6. A data distortion by probability distribution
7. The platform for privacy preference (P3P)
8. An online privacy seal program
9. On the convergence properties of the EM algorithm