Privately Computing a Distributed k-nn Classifier [chapter]

Murat Kantarcıoǧlu, Chris Clifton
2004 Lecture Notes in Computer Science  
The ability of databases to organize and share data often raises privacy concerns. Data warehousing combined with data mining, bringing data from multiple sources under a single authority, increases the risk of privacy violations. Privacy preserving data mining provides a means of addressing this issue, particularly if data mining is done in a way that doesn't disclose information beyond the result. This paper presents a method for privately computing k − nn classification from distributed
more » ... es without revealing any information about the sources or their data, other than that revealed by the final classification result.
doi:10.1007/978-3-540-30116-5_27 fatcat:pxmlkb34vrewpetlelxzijxwtu