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