The web could be mined to track information about emerging trends and behaviours, covering everything from drug use or racial tension to interest in films or new products.
挖掘网络，能追踪那些与新趋势及新行为相关的信息，这些信息包罗万象，从毒品使用与种族关系紧张到电影喜好与新产品。
Twitter today updated its web site to make it faster and more modern, bringing previously buried features and connections out in the open, in a bid to increase user consumption and engagement.
今天Twitter更新了其网站使之能够更快速且更时尚，将原先被埋没的特色和链接挖掘了出来，以此来增加用户的使用并增强带入感。
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。
The mobile application ecosystem is going through another inflection point now where some of the most successful developers will be those that use Web APIs in new and compelling ways.
这两者非常关键。 不过，这个移动应用生态系统现在正处于一个转折点上，那些能够从现有的WebAPI中挖掘潜力，并且以一种全新而且令人佩服的方式使用它们的开发者将会是最成功的。
Also, some of data mining algorithms that are commonly used in Web Usage mining are clustering, association rule generation, sequential pattern generation etc.
同时本篇论文也主要提出了一些经常被使用的数据挖掘的算法像聚类挖掘、关联规则挖掘、序列模式挖掘等。
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。
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。
He wrote that data mining tools are being democratized and used more nowadays, similar to how online publishing tools were democratized in Web 2.0.
他在文章中写道，如今数据挖掘工具正变得越来越大众化，使用的也越来越广泛，这点跟Web2.0时代在线发布工具的普及化过程很相似。
He wrote that data mining tools are being democratized and used more nowadays, similar to how online publishing tools were democratized in Web 2.0.
他在文章中写道，如今数据挖掘工具正变得越来越大众化，使用的也越来越广泛，这点跟Web2.0时代在线发布工具的普及化过程很相似。
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