用户的会话还可用于查找站点分析日志中的相关请求。
The user's session can also be used to find related requests in the site analytics log.
WebSpherePortal定义了下列站点分析日志记录器。
WebSphere Portal defines the following site analytics loggers.
本小节提供几个Web站点分析示例，展示如何使用IBM商业和开源工具确定正确的缓存行为。
This section provides examples of Web site analyses to determine the correct caching behavior using both IBM Commercial and open source tools.
对于用户与门户的每次交互，相应的日志记录器(如果配置了的话)都会在站点分析日志文件中创建一个新条目。
For each interaction a user makes with the portal, the appropriate logger (if it is configured) creates a new entry in the site analytics log file.
为了支持这一点，新的呈现portlet现在创建了一个额外的站点分析日志条目，使您能够识别被呈现的内容项。
To support this, the new rendering portlet now creates an additional site analytics log entry enabling you to identify the content item being rendered.
门户分析文件名为 sa.log（sa表示“站点分析”），通常位于 $WP_HOME/log/目录中。
The portal analytics file is called sa.log (sa for site analytics) and you can typically find it in the $WP_HOME/log/ directory.
快速链接示例Portlet使用WebSpherePortal站点分析器日志文件提供的门户使用情况统计信息。
The Quicklinks example portlet USES portal usage statistics provided by WebSphere portal site analyzer log files.
对于较深级别的分析，WebSpherePortal提供了一组站点分析日志，该日志提供了关于使用情况的特定于门户的详细信息。
For a deeper level analysis, WebSphere portal provides a set of site analysis logs that can provide more portal-specific information about usage.
就像任何项目一样，你应该做的第一件事情是检查你正在分析的站点。
Like with any project, the first thing you should do is check out the website you are analysing.
基本版能够帮助宣传站点和分析工作流。
The basic version helps with site promotion and workflow analysis.
之后分析了由这些站点下载到测试计算机上的追踪文件及程序。
It then analyzed the tracking files and programs these sites downloaded onto a test computer.
因此，我对于工作中得出的相关数据分析结果非常的感兴趣，这些数据最近发表在赛门铁克关于攻击工具和恶意站点的报告中。
So, I was especially interested in the results of some related data analysis that I worked on for on the recently released Symantec Report on Attack Kits and Malicious Websites.
如能跨多个目标站点执行内容分析，那么它将更为有效。
Content analysis is even more effective when you can perform it across multiple target sites.
世行已与第三方服务商签约，以便跟踪和分析关于世行站点使用情况的信息，其中的任何一条信息均无法用来识别单个站点的访客。
The World Bank has contracted with a third-party vendor to track and analyze information about the usage of World Bank sites. None of this information can be used to identify individual site visitors.
我们现在了解很多关于如何监控服务器并分析监控结果的知识，因此希望和您分享，帮助您改善您的站点的性能。
We now know a lot more about monitoring our servers and analyzing the results of what we monitored, and we'd like to share this experience with you to help you improve your own site performance.
顺便说一句，如果您的研究和分析能力有限，站点设计中的其他人将很明显地发现这一点。
Limited research and analytic skills are all too obvious to others in your site design, by the way.
PURPOSE元素描述了您收集信息的原因，例如出于站点管理、研发、分析等方面的目的。
The PURPOSE element describes the reason you collect the information, such as for administration of the site, research and development, analysis, and so on.
如果站点使用了一个托管的分析方案，那么大部分事情都会帮你照顾到了。
If the site is using a hosted analytics solution, most of these things are taken care of for you.
安全产品经常提供很多的重要的分析价值，它们经常提供比跟踪/状态数据包更好的信息来理解站点上发生的事情。
The products often provide great analytics value because they are sometimes better than normal tracking/stats packages for understanding what's going on with your site.
医生们可以同时登录进这个安全的站点，查看，分析病人最近的检测数据。
A group of doctors can log into a secure Web site at the same time to review and analyze a patient's recent battery of tests.
攻击者分析该站点来查找站点上使用的软件。
The attacker analyzes the site to find what types of software are used on the site.
收集缓存区域和项的元数据能帮助您分析Web站点的哪些区域和项目需要优化。
Gathering metadata for cache regions and items helps you analyze which areas and items of your Web site need to be optimized.
Dygest演示站点上事先订阅的内容来源只有几百，但是这款分析引擎所展示出来的可能性却去让人浮想联翩。
Dygest has pre-seeded each of its demo sites with a few hundred sources, but the possibilities the analysis engine presents are many.
除了用作数据包分析工具之外，还可以用来“fuzz”站点，寻找前面提到的那些exploit。
In addition to serving as a tool for packet analysis, you can use it to "fuzz" sites, looking for some of the same exploits mentioned above.
我们希望您能深入了解这些技巧，并使用它们分析您的DominoWeb站点。
We hope that this will provide you with some insights into the different techniques you can use to analyze your own Domino Web site.
通过使用基于Yahoo的高性能Web站点规则的标准，YSlow分析Web页面并告诉您页面缓慢的原因。
YSlow analyzes Web pages and tells you why they're slow, using criteria based on Yahoo's rules for high-performance Web sites.
作为对比，我从netApplications找了些数据。它公布的对浏览器的统计数据是基于160,000,000个不同的人访问40,000个站点通过他们的web分析服务得出的。
For comparison, I looked at data from net Applications, which releases browser statistics based on the 160 million different people who visit a network of 40,000 sites using its Web analytics service.
我们首先分析现有的Web站点。
Our problem began with the analysis of an existing Web site.
Web分析可以得到与用户行为有关的定量的结果，这被用来给站点表现建立基准点以及给管理层提供报告。
Web analytics offer quantitative insight into user behaviour. They can be used to benchmark site performance and report to management.
当爬虫程序爬过不同的Web站点时，它将建立一个数据库，该数据库中包括它所爬过的站点和网页、每一页所包含的链接、每一页的分析结果等数据。
As the program crawled the various Web sites, it would build a database of the sites and pages crawled, the links each page contained, the results of analysis on each pages, and so on.
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