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Springer Privacy-Preserving Data Mining: Models and Algorithms: 34 (Advances in Database Systems, 34)

Name: Privacy-Preserving Data Mining: Models and Algorithms: 34 (Advances in Database Systems, 34)
Brand: Springer

Knowledge Management

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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. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively. Key advances in privacy that have appeared only in the past three years are covered. The book is designed for researchers, professors, and advanced-level students in computer science. It is also suitable for practitioners in industry.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1441943714
Category: Books > Subjects > Business, Finance & Law > Management > Knowledge Management
Domain: Amazon UK
Publication Date: 19 November 2010
Listed Since: 01 October 2010

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Springer Privacy-Preserving Data Mining: Models and Algorithms: 34 (Advances in Database Systems, 34)

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