Books > Computing & IT > Applications of computing > Databases > Data security & data encryption
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Privacy-Preserving Data Mining - Models and Algorithms (Hardcover, 2008 ed.)
Loot Price: R6,042
Discovery Miles 60 420
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Privacy-Preserving Data Mining - Models and Algorithms (Hardcover, 2008 ed.)
Series: Advances in Database Systems, 34
Expected to ship within 10 - 15 working days
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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 number of techniques to
perform the data mining tasks in a privacy-preserving way. These
techniques generally fall into the following categories: data
modification techniques, cryptographic methods and protocols for
data sharing, statistical techniques for disclosure and inference
control, query auditing methods, randomization and
perturbation-based techniques. This edited volume contains surveys
by distinguished researchers in the privacy field. Each survey
includes the key research content as well as future research
directions of a particular topic in privacy. Privacy Preserving
Data Mining: Models and Algorithms is designed for researchers,
professors, and advanced-level students in computer science. This
book is also suitable for practitioners in industry.
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