Data Mining Based on Knowledge-Grid
Wei Ding · 2006
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.