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.
| ISBN: | 9780387879659 |
| Publication date: | 28th August 2024 |
| Author: | Justin Zhan, Stan Matwin |
| Publisher: | Springer-Verlag New York Inc. |
| Format: | Hardback |
| Pagination: | 280 pages |
| Genres: |
Databases Computer security Network security Coding theory and cryptology Data encryption Applied computing Algorithms and data structures Information theory Computer applications in the social and behavioural sciences E-commerce: business aspects |