期刊文献+

基于知识网格的Web数据挖掘

Web Data Mining Based on Knowledge Grid
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摘要 分析Web挖掘的类型,按照处理对象的不同可以将Web挖掘分为内容挖掘、结构挖掘和日志挖掘三大类,介绍一种基于分布式知识发现的知识网格体系结构,然后应用可视化的网格应用环境这种知识网格工具对Web数据挖掘过程及Web挖掘应用的执行进行设计。 It's possible to get the knowledge which is greatly valuable from a plenty of Web data resource formed by different structure via knowledge grid services.Analyzes the Web data mining type which included content mining,structure mining and logs mining,introduces a kind of knowledge grid system structure which based on distributed knowledge discovery,designs the Web data mining process and the execution of Web mining application by means of visual environment for grid applications.
出处 《现代计算机》 2010年第8期32-34,共3页 Modern Computer
关键词 知识网格 WEB数据挖掘 VEGA Knowledge Grid Web Data Mining Visual Environment for Grid Applications
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参考文献9

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