一个图形用户界面，提供用于浏览、分析和关联多个产品产生的日志的单个联络点。
A graphical user interface that provides a single point of contact for browsing, analyzing, and correlating logs produced by multiple products.
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.
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.
服务提供商分析其访问日志，并为客户提供有关用户请求什么内容和在什么时间发出请求的报告。
The service provider analyzes its access logs and provides its customer with reports about what was requested and when.
在我的案例中，因为我不能够用cookies或者页面跟踪代码去跟踪用户，所以相对而言，我的数据精确度比我期望的要差，这是因为日志文件分析方法的造成的。
In my case, I am not able to use cookies or page tags to track visitors, so my data is always going to be less accurate than it could be because of the way the log files are interpreted.
这个信息被汇编并保存在一个日志文件中，然后能通过用户日志文件进行分析。
This information is compiled and saved in a log file, which can then be analyzed by a user log file.
本文通过对真实用户查询日志的标注和分析，发现基于规则的方法可以对用户意图进行有效的识别。
By analyzing and manually labeling a large number of real user query log, we found rules were very useful in identifying user intents.
然后，这些日志可通过用户界面或命令行转换为XML以供进一步分析。
These logs can then be converted to XML via the user interface or command line for further analysis.
系统主要包括四个模块：数据采集模块、日志分析模块、入侵检测模块和用户接口模块。
There are mainly four modules in the system: data collection module, syslog analysis module, intrusion detection module, and user interface module.
通过对网站浏览日志的分析，得出了注册用户的产品偏好，并结合邮件广告设计的技巧，提出邮件广告的发送方法。
Getting the users' preference through the analyse of the web log. Making out the effective method of sending thee-mail advertisement.
实验结果表明，这种实现能有效地对用户访问日志进行聚类，并能满足服务器预取机制在线分析的时间、空间要求。
Experimental results show that the implementation can cluster the user access logs effectively, and the temporal and special efficiency can meet the on-the-fly need of Web server pre-fetching.
国外出现了大量日志分析工具，可以从各个角度对日志文件进行深入地剖析，并将分析结果以报表形式呈现给用户。
There are already lots of tools about log analysis abroad. The existed tools can accomplish deep analysis in every aspect of log files; also they can show users the result in report forms.
基本思想是分析用户行为日志获取用户偏好，根据用户偏好对网页进行过滤与重组。
The basic idea is analyze the search engine logs to get users' preferences, and according to these preference judgments to enable the search engine filters and reorganizes results.
并且对用户日志数据通过离线或在线的方式进行分析，得到用户的培训效果，以此分析评价系统性能。
In the system, we get the hidden information by on-line or off-line analyzing the data in user log. According to the result of data mining, the performance of system is Evaluated.
测试完毕后，系统会自动生成测试日志，根据用户需求生成出所有模块的测试报表供参考，用户也可打印出每个模块的详细测试结果报表加以对比和分析。
Having the special design which are the interface for other algorithm and input the key. After testing, the system can mimeograph the testing table and log for user refer and compare.
测试完毕后，系统会自动生成测试日志，根据用户需求生成出所有模块的测试报表供参考，用户也可打印出每个模块的详细测试结果报表加以对比和分析。
Having the special design which are the interface for other algorithm and input the key. After testing, the system can mimeograph the testing table and log for user refer and compare.
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