Title :
A Verification Scheme for Data Aggregation in Data Mining
Author :
Shin, Kilho ; Zhan, Justin
Author_Institution :
Carnegie Mellon CyLab Japan, Tokyo
Abstract :
To conduct data mining, we often need to collect data from various data owners. Privacy concerns may prevent the parties from directly sharing the data and some types of information about the data. To conduct data mining without compromising data privacy, we propose a verification scheme to ensure that the collected data follow the requirements of data miners, which is one of the important issues in privacy-preserving data mining systems.
Keywords :
data mining; data privacy; program verification; data aggregation; data mining; data privacy; data sharing; verification scheme; Credit cards; Cryptography; Data analysis; Data mining; Data privacy; Databases; Decision support systems; Information analysis; Interference; Product development;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.121