Privacy Preserving Data Mining
β Scribed by Lindell; Pinkas
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Weight
- 219 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0933-2790
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Most organizations, from private business to scientific institutes, own large information databases. Analysis of these databases can be very beneficial to the owner organizations, as it contributes to knowledge discovery, rib extract broader and more accurate conclusions, knowledge discovery techniq
During the whole process of data mining (from data collection to knowledge discovery) various sensitive data get exposed to several parties including data collectors, cleaners, preprocessors, miners and decision makers. The exposure of sensitive data can potentially lead to breach of individual priv