Developing distributed data mining applications in the knowledge grid framework

Authors:
Giuseppe Bueti;Antonio Congiusta;Domenico Talia
Affiliations:
DEIS, University of Calabria, Rende (CS), Italy;DEIS, University of Calabria, Rende (CS), Italy;DEIS, University of Calabria, Rende (CS), Italy
Venue:
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Year:
2004

Citing 3
Cited 3

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Abstract

The development of data intensive and knowledge-based applications on Grids is a research area that today is receiving significant attention. One of the main topics in that area is the implementation of distributed data mining applications using Grid computing services and distributed resource management facilities. This paper describes the development process of distributed data mining applications on Grids by using the KNOWLEDGE GRID framework. After a quick introduction to the system principles and a description of tools and services it offers to users, the paper describes the design and implementation of two distributed data mining applications by using the KNOWLEDGE GRID features and tools and gives experimental results obtained by running the designed applications on real Grids.