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Ontology Based Data Mining Approach on Web Documents

机译:基于本体的Web文档数据挖掘方法

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摘要

Internet which is included plenty of huge data source is now rapidly increasing in all domains. It is considered as valuable data sources if the data can be processed that results in information. Data mining techniques are widely utilized in web documents in order to extract information. In this paper a data mining approach based on Ontology is proposed to classify web documents in order to facilitate applications based on classified text documents like search engines. The proposed approach is implemented and applied on several web documents. The experimental results show considerable progress.
机译:包含大量海量数据源的Internet现在在所有领域中都在迅速增长。如果可以处理产生信息的数据,则它被视为有价值的数据源。数据挖掘技术广泛用于Web文档中以提取信息。在本文中,提出了一种基于本体的数据挖掘方法来对Web文档进行分类,以方便基于分类文本文档(如搜索引擎)的应用程序。所提出的方法已实施并应用于多个Web文档。实验结果表明取得了长足的进步。

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