110 search results - page 5 / 22 » On the use of spectral filtering for privacy preserving data... |
DMIN
2006
13 years 11 months ago
2006
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
KDD
2004
ACM
14 years 3 months ago
2004
ACM
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
HICSS
2009
IEEE
14 years 5 months ago
2009
IEEE
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
ACSW
2004
13 years 11 months ago
2004
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...