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。
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。
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。
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。
With the increase of Web information, Web data mining has been the focus of data mining field.
随着互联网信息的增长，网络信息挖掘已经成为数据挖掘领域研究热点之一。
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。
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。
The article researches into basic attribute-oriented induction, and puts forward the method of mining characteristic rule from user registering information to web sites.
本文首先研究了基本的面向属性归纳，提出了从网站用户登录信息中挖掘用户特征规则的思路。
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。
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
The first is Web content mining, which describes the process of information retrieval and extraction from varieties of sources across the World Wide Web.
二是网络使用挖掘，指挖掘网站访问方式或其他网络用户信息的过程。
Beginning with an analysis of the present situation of WEB information retrieval, points out its main limitations and induces WEB data mining.
首先分析了WEB信息检索的现状，主要针对WEB信息检索的局限性，引出WEB数据挖掘，并对WEB数据挖掘技术作了概要的介绍。
It also describes the presence of web information and the method of collection of web information. It describes the usage of data mining technology and build of agriculture data model.
分别论述了收集原则、信息的存在方式与收集方式，并介绍了应用数据挖掘技术，建立农业数据模型等方面的内容。
It also describes the presence of web information and the method of collection of web information. It describes the usage of data mining technology and build of agriculture data model.
分别论述了收集原则、信息的存在方式与收集方式，并介绍了应用数据挖掘技术，建立农业数据模型等方面的内容。
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