目前，盡管基于網(wǎng)格計(jì)算、知識(shí)網(wǎng)格的數(shù)據(jù)挖掘技術(shù)都還不成熟，但隨著研究的不斷
深入，數(shù)據(jù)挖掘的工具及其算法也必將在分布性、并行性、靈活性和有效性方面得到進(jìn)一步發(fā)展和提高。伴隨著網(wǎng)格和數(shù)據(jù)挖掘技術(shù)的不斷提高，基于知識(shí)網(wǎng)格的數(shù)據(jù)挖掘技術(shù)將得到廣泛的應(yīng)用。文中在討論知識(shí)網(wǎng)格體系結(jié)構(gòu)的基礎(chǔ)上實(shí)現(xiàn)了基于網(wǎng)格的分布式數(shù)據(jù)挖掘過(guò)程。
關(guān)鍵字: 知識(shí)網(wǎng)格；數(shù)據(jù)挖掘；VEGA；知識(shí)發(fā)現(xiàn)
Abstract: At present, even though based on the grid, knowledge grid of data mining techniques are not yet ripe, but with the deepening of research, data mining tools and algorithms will also in the distribution, in parallel, flexibility and effectiveness Get into a Step-by-step development and to improve. With the grid and data mining technology and continuous improvement, knowledge-based grid of data mining technology will be widely used. The article discussed in the knowledge grid architecture based on a grid-based distributed data mining process.
Keywords: knowledge grid, data mining, VEGA, knowledge discovery