| Secure Data Mining 2021 Edition Contributor(s): Zhan, Justin (Author), Matwin, Stan (Author) |
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ISBN: 038787965X ISBN-13: 9780387879659 Publisher: Springer OUR PRICE: $75.99 Product Type: Hardcover Published: August 2024 This item may be ordered no more than 25 days prior to its publication date of August 28, 2024Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Databases - General - Computers | Security - Networking - Computers | Computer Science |
| Dewey: 006.312 |
| Physical Information: 280 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |