Description: Privacy-Preserving Data Mining Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Models and Algorithms Author(s): Charu C. Aggarwal, Philip S. Yu Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441943712, 978-1441943712 Synopsis 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.
Price: 143.78 GBP
Location: Aldershot
End Time: 2025-01-26T09:02:21.000Z
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Book Title: Privacy-Preserving Data Mining
Number of Pages: 514 Pages
Publication Name: Privacy-Preserving Data Mining: Models and Algorithms
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2010
Type: Textbook
Item Weight: 813 g
Author: Charu C. Aggarwal, Philip S. Yu
Item Width: 155 mm
Series: Advances in Database Systems
Format: Paperback
