Design of Distributed Data Mining Applications on the KNOWLEDGE GRID
نویسندگان
چکیده
Many industrial, scientific, and commercial applications need to analyze large data sets maintained over geographically distributed sites. The geographic distribution and the large amount of data involved often oblige designers to use distributed and parallel systems. The Grid can play a significant role in providing an effective computational support for distributed data mining and knowledge discovery applications. This paper introduces a software system for geographically distributed high-performance knowledge discovery applications called KNOWLEDGE GRID, describes the main system components, and discusses how to design and implement distributed data mining applications using these components.
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تاریخ انتشار 2002