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Building Predictors from Vertically Distributed Data
- Proceedings of the 14th Annual IBM Centers for Advanced Studies Conference
, 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 boundaries rather than being stored in a centralized location. Data can be distributed by separating objects or attribut ..."
Abstract
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, and several voting schemes. This approach is suitable for physically distributed data as well as privacy preserving data mining. Copyright c ○ 2004 Sabine McConnell and David