这一过程改变了德国股票市场的主要份额

IF 0.1 4区 管理学 Q4 BUSINESS Betriebswirtschaftliche Forschung Und Praxis Pub Date : 2018-09-01 DOI:10.29252/bfup.9.3.4
D. Micic
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引用次数: 0

摘要

万维网联盟(World Wide Web Consortium, W3C)提出了像XML这样的标准标记语言,以减少导致对各种Web页面进行分析的错误。有用的内容是网页上提供给用户所需信息的原创内容。更多的收件人和最终用户只搜索有用的内容,需要从网页中提取有用的内容。要把网页中有用的内容提炼为正确的,网页中有用的内容和没有价值的内容要清楚地知道。本文介绍了从Web页面中提取有用内容的自动化方法,如通过链接、属性、单词和学习模型进行Web有用内容挖掘。
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The process of changing the main share of the ‎Germany stock market
World Wide Web Consortium (W3C), the standard markup languages like XML have been proposed to reduce errors that lead to the analysis of various Web pages. Useful content is original content from the web page that gives to users the information they need. More Recipient and end users search just useful content and need to extract the useful content from Web pages. To extract the useful content of the web page as correct, useful content and worthless content of the web page should be known clearly. In this paper explained automated methods to extract useful content from Web pages such as Web useful content mining through links, attributes, words and learning models.
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