By Topic

Distributed Data Mining Models as Services on the Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Cesario, E. ; ICAR - CNR, Rende ; Talia, D.

This paper describes how distributed data mining models, such as collective learning, ensemble learning, and meta-learning models, can be implemented as WSRF mining services by exploiting the Grid infrastructure. Our goal is to design a general distributed architectural model that can be exploited for different distributed mining algorithms deployed as Grid services for the analysis of dispersed data sources. In order to validate our approach, we present also the implementation of two clustering algorithms on such architecture, and evaluate their performance.

Published in:

Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on

Date of Conference:

15-19 Dec. 2008