web log的例句大全

The Study on Data Mining Algorithm and Application in Web Log Analysis

数据挖掘在Web日志分析中的应用

Web log data mining technology is a widely used Internet technology.

Web日志数据挖掘技术是一种广泛运用于互联网的技术。

Therefore, we developed the information filtering system which can filter the web log collected through sideway mode.

因此产生了基于旁路方式获取网络日志，并进行信息过滤的系统。

Research and Application of Data Mining Technology Based on Web Log

基于Web日志的数据挖掘技术的研究

Research on the process of Web log mining

WEB日志挖掘过程研究

Research of Data Mining Algorithm of Temporal Association Rules Based on Web Log

基于Web日志的时态关联规则挖掘算法

A Method of Using Web Log Mining to the Performance Evaluate of Network Station

一种基于Web挖掘的网站性能评价方法

The Study of CRM Data Mining Utilizing with Web Log File

利用Web日志进行CRM数据挖掘研究

Analyzing and exploring regularities in web log records can identify potential customers for electronic commerce, enhance the quality and delivery of Internet information services to the end web user, and improve web server system performance.

分析和探索日志中的规律能够确认电子商务中的潜在用户、提高信息服务的质量和提高Web服务系统的性能。

The Architecture of Web Log Mining System Based on SQL Server 2005

基于Sql Server2005的Web日志挖掘系统构建

Data Preprocessing in Web Log Mining Based on User Access Tree

基于用户访问树的Web日志挖掘数据预处理

The Application of Electronic Commerce Recommendation Based on Web Log Mining

Web日志挖掘在电子商务推荐中的应用

The Research and Practice of Government Web Log Mining

政府网站日志挖掘的研究与实践

After introduction of some typical Web log preprocessing techniques, it is pointed out that the frame pages in a Web site can reduce the interestingness of the result page groups. Then, a frame-filtering algorithm is proposed to solve this problem.

在介绍了典型的数据预处理技术的基础上，指出Frame页面降低了挖掘结果的兴趣性，并提出相应的解决方法&Frame页面过滤算法消除其影响。

As the degree of users 'interest are constantly changing, so using traditional methods of Web log mining is difficult to accurately track users' interest.

用户的兴趣度是不断变化的，因此采用传统的Web日志挖掘方法很难准确地跟踪到用户的访问兴趣。

But, because the traditional process of web log preprocessing does not eliminate the influence of frame page, the interesting of mode is low.

传统的Web日志数据预处理过程没有消除Frame页面的影响，导致最终挖掘出来的模式的兴趣度偏低。

Based on Web usage mining of Web log, the user interest rate is proposed by using the relativity of the pages accessed by users, which is applied in the data preparation and page recommendation of remote education.

基于日志的Web使用挖掘，利用用户访问页面的相关性提出用户兴趣度，并应用于远程教育中数据准备和页面的推荐过程。

The paper researches the user's behavior; makes use of the balanceable interest that reflects by high frequency access paths. Makings use of the technique of Web Mining, automatically discovers the users access pattern from the Web Log file-high frequency access paths;

课题从用户访问网站的行为入手，利用权重平衡的频繁访问路径所反映的用户兴趣度的概念，利用Web日志挖掘技术，自动地从日志文件中发现用户访问模式&频繁访问路径；

Design of the Agricultural Self-adaptive Website Based on Web Log Mining

基于Web日志挖掘的农业自适应网站的设计

Web log data has some unique features compared with the conventional data, which brings so many challenges to our research work.

Web日志数据本身与传统数据相比有一些独特的特点，这对有关的研究工作也带来了一定的挑战。