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Research Article
KDDML-G: a grid-enabled knowledge discovery system
Article first published online: 28 JUN 2007
DOI: 10.1002/cpe.1208
Copyright © 2007 John Wiley & Sons, Ltd.
Issue
1532-0634/asset/cover.gif?v=1&s=6094df24c795ce080ff6df6ff3b6bcec19adb708 "Concurrency and Computation: Practice and Experience")
Concurrency and Computation: Practice and Experience
Volume 19, Issue 13, pages 1785–1809, 10 September 2007
Additional Information
How to Cite
Romei, A., Sciolla, M., Turini, F. and Valentini, M. (2007), KDDML-G: a grid-enabled knowledge discovery system. Concurrency Computat.: Pract. Exper., 19: 1785–1809. doi: 10.1002/cpe.1208
Publication History
- Issue published online: 7 AUG 2007
- Article first published online: 28 JUN 2007
- Manuscript Accepted: 10 MAR 2007
- Manuscript Revised: 10 FEB 2007
- Manuscript Received: 31 MAY 2006
Funded by
- Italian MIUR FIRB. Grant Number: RBNE01KNFP
- Abstract
- Article
- References
- Cited By
Keywords:
- distributed data mining;
- grid middleware;
- classification
Abstract
KDDML-G is a middleware language and system for knowledge discovery on the grid. The challenge that motivated the development of a grid-enabled version of the ‘standalone’ KDDML (Knowledge Discovery in Databases Markup Language) environment was on one side to exploit the parallelism offered by the grid environment, and on the other side to overcome the problem of data immovability, a quite frequent restriction on real-world data collections that has principally a privacy-preserving purpose. The last question is addressed by moving the code and ‘mining’ the data ‘on the place’, that is by adapting the computation to the availability and localization of the data. Copyright © 2007 John Wiley & Sons, Ltd.