NASET交易所财务管理组织

IF 0.1 4区 管理学 Q4 BUSINESS Betriebswirtschaftliche Forschung Und Praxis Pub Date : 2018-06-01 DOI:10.21859/BFUP-09021
Danial Jacco, Mohammad Mousa
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引用次数: 0

摘要

万维网作为一种分布广泛的全球性服务,是新闻、广告、消费者信息、财务管理、教育、政府、电子商务和许多其他情报服务的全球信息服务中心,因此网页通常包含许多价值不高的内容,如广告、搜索、过滤面板、页眉、页脚、导航链接、版权信息等。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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Financial Management Organization on NASET ‎Exchange
World Wide Web as a global service that distributed widely and is a global information service center for news, advertising, consumer information, financial management, education, government, e-commerce and many other intelligence services, so web pages include typically value a lot of worthless content, such as advertising, search, filtering panels, header, footer, navigation links, copyright information, etc. 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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