Privacy-Preserving Data Mining Models and Algorithms /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aggarwal, Charu C. (Editor), Yu, Philip S. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2008.
• Series: Advances in Database Systems, 34
• Subjects: Computer science.; Computer security.; Data encryption (Computer science).; Database management.; Data mining.; Information storage and retrieval.; Computer Science.; Systems and Data Security.; Data Mining and Knowledge Discovery.; Data Encryption.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).

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...