39 search results - page 2 / 8 » Privacy Preserving and Data Mining in an On-Line Statistical... |
DMIN
2006
13 years 6 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
13 years 10 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...
DAMON
2006
Springer
13 years 8 months ago
2006
Springer
Secure coprocessors have traditionally been used as a keystone of a security subsystem, eliminating the need to protect the rest of the subsystem with physical security measures. ...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...