Abstract
The increasing use of data mining tools in both the public and private sectors raises concerns regarding the potentially sensitive nature of much of the data being mined. The utility to be gained from widespread data mining seems to come into direct conflict with an individual’s need and right to privacy. Privacy preserving data mining solutions achieve the somewhat paradoxical property of enabling a data mining algorithm to use data without ever actually “seeing” it. Thus, the benefits of data mining can be enjoyed, without compromising the privacy of concerned individuals.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Data Warehousing and Mining |
| Subtitle of host publication | Second Edition |
| Publisher | Springer International Publishing |
| Pages | 1747-1752 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781605660110 |
| ISBN (Print) | 9781605660103 |
| DOIs | |
| State | Published - 1 Jan 2008 |
Bibliographical note
Publisher Copyright:© 2009 by IGI Global.
Fingerprint
Dive into the research topics of 'Secure Computation for Privacy Preserving Data Mining'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver