Accurate Synthetic Generation of Realistic Personal Information
A large portion of data collected by many organisations today is about people, and often contains personal identifying information, such as names and addresses. Privacy and confidentiality are of great concern when such data is being shared between organisations or made publicly available. Research in (privacy-preserving) data mining and data linkage is suffering from a lack of publicly available real-world data sets that contain personal information, and therefore experimental evaluations can...[Show more]
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|01_Christen_Accurate_Synthetic_Generation_2009.pdf||1.33 MB||Adobe PDF||Request a copy|
|02_Christen_Accurate_Synthetic_Generation_2009.pdf||1.05 MB||Adobe PDF||Request a copy|
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