• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Privacy-Preserving Data Mining: Models and Algorithms

Privacy-Preserving Data Mining: Models and Algorithms

Hardcover

Series: Advances in Database Systems, Book 34

DatabasesComputer Security

ISBN10: 0387709916
ISBN13: 9780387709918
Publisher: Springer
Published: Jul 7 2008
Pages: 514
Weight: 1.90
Height: 1.20 Width: 6.10 Depth: 9.30
Language: English

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.

1 different editions

Also available

Also from

Aggarwal, Charu C.

Also in

Computer Security