371 search results - page 20 / 75 » A Framework for Privacy Preserving Classification in Data Mi... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
JCP
2007
13 years 7 months ago
2007
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
CASCON
2004
13 years 9 months ago
2004
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
TDP
2010
13 years 2 months ago
2010
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...