数据网格分布式动态分类系统 及其在乳腺癌网格中的应用

数据网格作为面向服务的架构,为远程用户提供分布式数据查询、存储和管理等服务,而数据网格中的数据分类日益成为研究者们所关注的问题.本文描述了用于数据网格的一种高效的分类系统.该系统动态综合作为网格服务的多种分类方法(Dynamical Synthesis of Multiple Methods,DSMM),能够动态地改善传统分类方法的低准确率点,以负载平衡为前提将分类工作分布于网格中的各个结点上.另外,DSMM提供的生命周期管理保障了其作为一个网格应用的鲁棒性和灵活性,适合于网格的松耦合体系结构.实验采用了2927个乳腺癌患者病例,结果显示DSMM系统的确能够在数据网格环境中发挥其灵活性、高效性并提高分类的准确率.

A Distributed Dynamical Classification System for Data Grid and Its Application in Breast Cancer Grid

As a service oriented architecture,data grid provides distributed data access,storage and management for remote users.It has become growing concern among developers about the data classification issue in data grid environment.This paper proposes a high-efficient system used in data grid which makes dynamical synthesis of multiple methods(DSMM),distributes workloads to each node of the grid with the load-balance premise,and improves the low classification accuracy points of traditional methods.In spite of th...