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首页> 外文期刊>International Journal on Computer Science and Engineering >A NOVEL APPROACH FOR CONVERSION OF SEMISTRUCTURED TO STRUCTURED DATA
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A NOVEL APPROACH FOR CONVERSION OF SEMISTRUCTURED TO STRUCTURED DATA

机译:将半结构化数据转换为结构化数据的新方法

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摘要

The flora of the Internet and the status of net objectivity is that transformation can come from everybody. Web mining is a significant research part in today’s world. The Web mining is mostly dispersed into three types. First, the web structure mining, second, the web content mining, and the third it focuses on web usage mining. The web usage mining deals with web usage logs which is used to find out patterns from web. The Web structure mining is used to mine information from the structure of hyperlinks .The web Content Mining is used to extract useful information or data from web page. The web content mining is connected but differs from data mining and text mining. In this paper, the research work motive is to learn about web content mining tools, techniques and the examination is concentrated on semi structured data.
机译:互联网的种类和网络客观性的状态是,转型可以来自每个人。网络挖掘是当今世界中重要的研究部分。 Web挖掘主要分为三种类型。首先是Web结构挖掘,其次是Web内容挖掘,第三是Web使用挖掘。 Web使用情况挖掘处理Web使用情况日志,该日志用于从Web查找模式。 Web结构挖掘用于从超链接的结构中挖掘信息。WebContent Mining用于从网页中提取有用的信息或数据。 Web内容挖掘是连接的,但不同于数据挖掘和文本挖掘。在本文中,研究工作的动机是学习Web内容挖掘工具,技术,并且考试集中在半结构化数据上。

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