Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)

Product Description

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing 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.
Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.

Product Details
Hardcover: 514 pages
Publisher: Springer; 1 edition (July 7, 2008)
Language: English
ISBN-10: 0387709916
ISBN-13: 978-0387709918
Product Dimensions: 9.3 x 6 x 1 inches

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Parallel Iterative Algorithms: From Sequential to Grid Computing

Editorial Reviews

Product DescriptionFocusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and drawbacks of the algorithms. Several exercises also appear at the end of most chapters. The first two chapters introduce the general features of sequential iterative algorithms and their applications to numerical problems. The book then describes different kinds of parallel systems and parallel iterative algorithms. It goes on to address both linear and nonlinear parallel synchronous and asynchronous iterative algorithms for numerical computation, with an emphasis on the multisplitting approach. The final chapter discusses the features required for efficient implementation of asynchronous iterative algorithms. Providing the theoretical and practical knowledge needed to design and implement efficient parallel iterative algorithms, this book illustrates how to apply these algorithms to solve linear and nonlinear numerical problems in parallel environments, including local, distant, homogeneous, and heterogeneous clusters

Product Details
Hardcover: 240 pages
Publisher: Chapman & Hall/CRC; 1 edition (November 28, 2007)
Language: English
ISBN-10: 1584888083
ISBN-13: 978-1584888086
Product Dimensions: 9.3 x 6.4 x 0.7 inches

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