Skip to main content
SpringerLink
Log in
Book cover

Secure Data Mining

  • Book
  • Aug 2024

Overview

Authors:
  1. Justin Zhan

    1. Carnegie Mellon University Dept. Computer Science, Pittsburgh, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Stan Matwin

    1. Engineering, University of Ottawa School of Information Technology &, Ottawa, Canada

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Illustrates crypto based privacy and security aspects of data mining
  • Includes information on semantic security, for which the market has very little available research

Buy print copy

Keywords

  • Matwin
  • Zhan
  • currentjm
  • data mining
  • privacy
  • security

About this book

Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. However, privacy concerns may prevent people from sharing the data and some types of information about the data. How we conduct data mining without breaching data privacy presents a challenge.

Secure Data Mining provides solutions to the problem of data mining without compromising data privacy. This professional book is designed for practitioners and researchers in industry, as well as a secondary textbook for advanced-level students in computer science.

Authors and Affiliations

  • Carnegie Mellon University Dept. Computer Science, Pittsburgh, USA

    Justin Zhan

  • Engineering, University of Ottawa School of Information Technology &, Ottawa, Canada

    Stan Matwin

Bibliographic Information

  • Book Title: Secure Data Mining

  • Authors: Justin Zhan, Stan Matwin

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2024

  • Hardcover ISBN: 978-0-387-87965-9Due: 28 August 2024

  • eBook ISBN: 978-0-387-87966-6Due: 28 August 2024

  • Edition Number: 1

  • Number of Illustrations: 20 b/w illustrations

Publish with us

Policies and ethics

Back to top

Search

Navigation