Description: Practical Synthetic Data Generation : Balancing Privacy and the Broad Availability of Data, Paperback by Emam, Khaled El; Mosquera, Lucy; Hoptroff, Richard, ISBN 1492072745, ISBN-13 9781492072744, Like New Used, Free shipping in the US Introduces techniques for generating synthetic data from real datasets in order to perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue, while addressing many privacy concerns, covering such topics as steps for generating synthetic data using multivariate normal distributions; how to replicate the simple structure of original data; and privacy implications of synthetic data and methods to assess identity disclosure.
Price: 49.44 USD
Location: Jessup, Maryland
End Time: 2024-11-02T19:47:22.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Practical Synthetic Data Generation : Balancing Privacy and the B
Number of Pages: 163 Pages
Language: English
Publication Name: Practical Synthetic Data Generation : Balancing Privacy and the Broad Availability of Data
Publisher: O'reilly Media, Incorporated
Publication Year: 2020
Subject: Intelligence (Ai) & Semantics, General, Data Processing, Databases / Data Mining
Item Height: 0.4 in
Item Weight: 10.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Khaled El Emam, Lucy Mosquera, Richard Hoptroff
Item Length: 9.1 in
Item Width: 7.5 in
Format: Trade Paperback
