【摘要】 工业、科学、商务等领域的数据通常分布在不同的地方,需要在不同的地点对其进行分布式维护,只有使用计算功能超强的分布式、并行处理系统才能分析这些领域所产生的超大规模数据集。网格为分布式知识发现应用中的计算提供了有效支持。为了在网格上进行数据挖掘的开发,本文提供了一个称之为知识网格的系统,讨论如何应用知识网格设计实施数据挖掘应用,并说明如何搜索网格资源、编制软件和数据组件,以及数据挖掘应用在网格上的执行过程。更多还原

【Abstract】 Since the data in such fields as industry, science and commerce are usually distributed in different places, and distributed maintenance is needed for them in different sites, the super large-scale data sets produced in these fields can be analyzed by only using the distributed and parallel processing systems that have a super strong computing function. The grid offers effective support for the computing in the distributed knowledge discovery applications. For the development of data mining application on grids, this article provides a system called knowledge grid, and discusses how to design and implement data mining applications by using the knowledge grid. This article illustrates in detail how to search for grid resources, compose software and data components, and the process that the mining applications execute on grids.更多还原