One of the key problems of web mining is web relevant mining.
网页挖掘中的一个主要问题是对网页进行相关性挖掘。
The combination of the two areas is referred to as Web mining.
这两个领域的结合就是网络挖掘。
Focusing on the web data collection problem in web mining, a collection method based on XML is designed.
针对WEB的数据挖掘中的WEB数据收集问题，设计了一种基于XML的数据收集方法。
This System is the first personality information system using TRIP system's query log for web mining at home.
本系统是国内第一个针对TRIP系统的文献日志进行挖掘的个性化信息服务系统。
This paper presents a novel approach to improve the named entity translation by combining transliteration with web mining.
本文提出了一种新颖的方法，综合利用音译和网络挖掘来提高命名实体翻译的效果。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
On the basis of above, summarize application value of Web usage mining, data source of mining, data preprocessing and mining method and some applied tools of Web mining.
在此基础上，综述了W E B使用挖掘的应用价值、挖掘的数据源、数据的预处理、挖掘的方法和几种适用于WEB挖掘工具。
There is a growing trend among companies, organizations and individuals alike to gather information through web data mining to utilize that information in their best interest.
现在在公司、组织、个人中出现了一种通过网络数据挖掘收集信息然后利用那些他们最感兴趣的信息的趋势。
The company USES a form of data mining to group Web pages by content, which makes the search engine more efficient, he said.
他还提到公司使用一种数据挖掘技术来根据内容对网页进行归类，这样一来搜索引擎会更有效率。
For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.
从这个出发点来看，它使用的是文本挖掘，试图分析网页并鉴定他们关键的语义概念。
For Amazon one of the main benefits is considered to be the data mining opportunities arising from having all web pages browsed by Kindle Fire users tunneled through AWS.
对于Amazon来说，从Kindle Fire用户通过AWS浏览的所有web页面中进行数据挖掘，这 其中的机会是最大的好处之一。
Semi-structured data, primarily in the form of HTML, is enabling new prospects for mining data from the web.
半结构化数据（主要是HTML形式的）正在开创从web挖掘数据的新局面。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
This architecture aligns with W3C web standards for the semantic web, and allows much more flexible searching and data mining than would be possible with a MARC record.
这个结构和W3C的语义网网络标准相吻合，而且相比MARC数据，它能够进行更加灵活的搜索和数据收割。
Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.
关联数据、语义分析、分析数据挖掘，这些都可以作为下一代网络产品和其它附加值的基础。
But Google's approach is still the same: mining information provided by web users, such as their search histories, to provide more relevant search results and more effective and targeted advertising.
但Google的策略还是一样的：收集网络用户的信息，比如搜索历史，以提供更相关的搜索结果和更有效的目标广告。
Mining data from the web involves applying structure to information that is typically presented in a semi-structured format at best.
从web挖掘数据需要向通常最多只不过以半结构化格式呈现的信息应用结构。
什么是Web数据挖掘？
How Will Web Data Mining Benefit My Business?
Web数据挖掘如何助益我的生意？
Where Did Web Data Mining Come From?
Web数据挖掘从何而来？
During the recent years, with the rapid development of Web data mining, how to find useful information in search engine log query has become an important research direction.
近年来，随着网络数据挖掘技术的迅猛发展，如何从搜索引擎查询日志中找到有用的信息成为一个重要的研究方向。
This paper provided a model for mining related Web pages based on Web usage information.
文章提出了一种基于网络用户行为的相关页面挖掘模型。
A DOM Tree Alignment Model for Mining Parallel Data from the web.
一种从网上采集相似数据的文档对象模型的树形配置样例。
At present, the technology of web structure mining is applied into search engine and has got a good effect on it.
目前，网络结构挖掘技术已经在搜索引擎中得到了初步的应用，并取得了很好的效果。
DOM Tree Alignment Model for Mining Parallel Data from the web.
一种从网上采集相似数据的文档对象模型的树形配置样例?。
In this thesis, the author view web citation as a kind of new information source, and systematically mining and analyzing the web citation information.
本文将网络引文作为一种新的可利用信息源，对网络引文进行了系统的分析、信息挖掘研究。
Analyze the application of data mining in Electronic Commerce from three aspects: the design of Web site, Customer Relationship Management and Internet Marketing.
分析了数据挖掘技术在电子商务中的应用，并从电子商务网站设计、客户关系管理、网络营销三个方面进行了具体的阐述。
This article mainly refers to the basic concept, classification and process of web data mining, as well as its application in e-commerce.
主要介绍网络数据挖掘的基本概念、分类、挖掘的过程及其在电子商务中的应用。
This article mainly refers to the basic concept, classification and process of web data mining, as well as its application in e-commerce.
主要介绍网络数据挖掘的基本概念、分类、挖掘的过程及其在电子商务中的应用。
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