Privacy-preserving data mining models and algorithms /
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy Preserving Data Mining: Models and Algorithms proposes a...
| Other Authors: | Aggarwal, Charu C., Yu, Philip S., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
©2008.
New York : [2008] |
| Physical Description: |
1 online resource (xxii, 513 pages) : illustrations. |
| Series: |
Advances in database systems ;
34. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |