The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

Privacy-preserving clustering with distributed EM mixture modeling

Author

Xiaodong Lin, Chris Clifton, Michael Zhu

Tech report number

CERIAS TR 2005-115

Entry type

article

Abstract

Privacy and security considerations can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery can alleviate this problem. We present a technique that uses EM mixture modeling to perform clustering on distributed data. This method controls data sharing, preventing disclosure of individual data items or any results that can be traced to an individual site.

Date

2005

Booktitle

Knowledge and Information Systems

Key alpha

Privacy; Security; Clustering

Publisher

Springer-Verlag London Ltd

Publication Date

2005-01-01

Copyright

Springer-Verlag London Ltd 2004

Keywords

Privacy; Security; Clustering

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