Secure Data Mining

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.

• | Author: Justin Zhan|Stan Matwin
• | Publisher: Springer
• | Publication Date: October 13, 2021
• | Number of Pages: 280 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 038787965X
• | ISBN-13: 9780387879659