Privacy-preserving agent-based distributed data clustering

Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi, Gianluca Moro

In: International Journal of Web Intelligence and Agent Systems 4 2/2006 Seiten 221-238 IOS Press 2006.


A growing number of applications in distributed environment involve very large data sets that are inherently distributed among a large number of autonomous sources over a network. The demand to extend data mining technology to such distributed data sets has motivated the development of several approaches to distributed data mining and knowledge discovery, of which only a few make use of agents. We briefly review existing approaches and argue for the potential added value of using agent technology in the domain of knowledge discovery, discussing both issues and benefits. We also propose an approach to distributed data clustering, outline its agent-oriented implementation, and examine potential privacy violating attacks which agents may incur.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence