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Privacy-Preserving Data Mining Models and Algorithms /

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, http://id.loc.gov/vocabulary/relators/edt), Yu, Philip S. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Advances in Database Systems,
Subjects:
Computer security.
Data mining.
Data encryption (Computer science).
Database management.
Information storage and retrieval.
Application software.
Systems and Data Security.
Data Mining and Knowledge Discovery.
Cryptology.
Database Management.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Online Access:https://doi.org/10.1007/978-0-387-70992-5
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https://doi.org/10.1007/978-0-387-70992-5

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