Publikation
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, Vol. 4, No. 2/2006, Pages 221-238, IOS Press, 2006.
Zusammenfassung
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.