Privacy-Preserving Data Mining Models and Algorithms

Privacy-Preserving Data Mining Models and Algorithms / edited by Charu C. Aggarwal, Philip S. Yu.

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy Preserving Data Mining: Models and Algorithms proposes a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Aggarwal, Charu C. (Editor), Yu, Philip S. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Advances in Database Systems,
Springer eBook Collection.
Subjects:
Computer security.
Data mining.
Data encryption (Computer science).
Database management.
Information storage and retrieval.
Application software.
Electronic resources (E-books)
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