数据挖掘网格中知识发现工作流的移动性扩展

K. Hummel, Georg Bohs, P. Brezany, I. Janciak
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引用次数: 8

摘要

在科学和其他领域,面向服务的数据挖掘网格已经开始广泛支持知识发现。当需要随时随地访问这些服务时,将移动设备和无线网络集成到网格中是有用的。然而,移动技术的能力有限,移动进一步导致环境的频繁变化,比如位置和网络连接。本文提出将移动设备集成为泛在知识发现客户端。讨论了知识发现工作流管理中的主要服务类,即对执行服务的监视和控制。通过一个基于。net的知识发现框架GridMiner在pda上的原型实现,验证了该方法的可行性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility Extensions for Knowledge Discovery Workflows in Data Mining Grids
In scientific and other domains, knowledge discovery has started to be widely supported by service oriented data mining grids. When access to such services is required anytime at anyplace, the integration of mobile devices and wireless networks into grids is useful. However, mobile technologies exhibit limited capabilities and movement further cause frequent changes of context, like location and, thus, network connectivity. In this paper, the integration of mobile devices as ubiquitous knowledge discovery clients is proposed. The major service classes in knowledge discovery workflow management are addressed, those are, the monitoring and controlling of executing services. The feasibility of the approach is demonstrated by means of a .NET-based prototypical implementation on PDAs for the knowledge discovery framework GridMiner
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