Privacy-Preserving Data Mining: Models and Algorithms

Privacy-Preserving Data Mining: Models and Algorithms

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2010 · Английский · Мягкая обложка · 2 editions
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Описание

Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. 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. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

Детали книги

Формат Мягкая обложка
Страницы 536 страниц
Язык Английский
Опубликовано Nov 19, 2010
Издатель Springer
Издания 2 editions
ISBN-10 1441943714
ISBN-13 9781441943712
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