Tools for privacy preserving Kernel methods in data mining
Authors: 
Wan Haiping, He HuacanAuthors Info & Claims
Wan Haiping, He HuacanAuthors Info & ClaimsPages 388 - 391
Abstract
We provide an overview of the emerging issues in privacy preserving data mining. Also we develop solutions for two secure two-party computing problems. Many of the research issues focus on underlying blocks, we show how to integrate them with kernel methods in classifications. We evaluate their performance, privacy capacity, and draw some initial conclusions.
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Index Terms
- Tools for privacy preserving Kernel methods in data mining
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ACTA Press
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Published: 13 February 2006
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