KDDML-G: a grid-enabled knowledge discovery system

被引：3

作者：

Romei, Andrea ^{[1
]}

Sciolla, Matteo ^{[1
]}

Turini, Franco ^{[1
]}

Valentini, Marlis ^{[1
]}

机构：

[1] Univ Pisa, Dipartimento Informat, I-56127 Pisa, Italy

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2007年 / 19卷 / 13期

关键词：

distributed data mining; grid middleware; classification;

D O I：

10.1002/cpe.1208

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 (C) 2007 John Wiley & Sons, Ltd.

引用

页码：1785 / 1809

页数：25

共 24 条

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