Description: Please review all photos as this will be the item shipped to you. Please notice there is significant damage to the cover that is shown in the photos. Please ask any questions prior to purchasing. This book is a comprehensive guide to privacy-preserving data mining, a crucial aspect of modern data analysis. The authors, Philip S. Yu and Charu C. Aggarwal, provide an in-depth exploration of the subject area, covering topics such as probability and statistics, security, and discrete mathematics. The book is intended for use as a textbook for students and professionals in the field of data mining and database systems. The hardcover book is published by Springer and has a length of 9.3 inches and a width of 6.1 inches. It has xxii, 514 pages and weighs 72 ounces. The book is part of the Advances in Database Systems series and is written in English. It is not a text book, but a valuable resource for anyone interested in privacy-preserving data mining.
Price: 35 USD
Location: San Antonio, Texas
End Time: 2025-02-03T04:45:24.000Z
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Item Specifics
All returns accepted: ReturnsNotAccepted
Binding: Hardcover
Product Group: Book
Book Title: Privacy-Preserving Data Mining
Weight: 1 lbs
IsTextBook: No
Number of Pages: Xxii, 514 Pages
Language: English
Publication Name: Privacy-Preserving Data Mining : Models and Algorithms
Publisher: Springer
Publication Year: 2008
Subject: Probability & Statistics / General, Security / General, Algebra / General, Databases / Data Mining, Discrete Mathematics
Type: Textbook
Item Weight: 72 Oz
Author: Philip S. Yu, Charu C. Aggarwal
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Advances in Database Systems Ser.
Format: Hardcover
