Distributed Data Mining Based on Knowledge Grid
Jiyi Xiao · Computer Technology and Development · 2007
In many scientific,industrial and commercial applications,it is often necessary to analyze large data sets over geographically distributed sites.An appropriate distributed and parallel system is needed to store and manage the large data sets.The grid plays an important role in providing a computational support for distributed data mining and knowledge discovery.Based on the discussion of knowledge grid architecture,the visual environment of grid application—VEGA is applied to fulfill the process of distributed data mining on the grid.