信息挖掘

智能搜索引擎如何应用WEB信息挖掘技术

The Application of WEB Data Mining Technology with Brainpower Search Engine

Apriori算法的改进及其在单病种信息挖掘中的应用

The Application of Improved Apriori Algorithm in Data Mining of Single Sort Disease

WEB访问信息挖掘中的关联规则发现算法的研究

Research on discovery algorithm of association rules in Web mining

基于Web信息挖掘的商业分析系统设计

Design of commercial analysis system based on web information mining

WMS：面向领域的Web信息挖掘系统

WMS : a Domain Oriented System for Web Information Mining

面向智能搜索的Web信息挖掘技术研究

Research on Techniques of Web Information Mining for Intelligent Search

GenExtractor：一个基于Web的生物信息挖掘系统

The GenExtractor : A Web-Based Bioinformation Mining System

Web结构挖掘是整个Web信息挖掘的重要组成部分。

The structure mining of web is an important part in web information digest .

论基于Web用户访问信息挖掘技术的个性化定制服务

Web-based access Information Mining for individualized Custom Service

基于VISUALBASIC环境下的XML信息挖掘与开发方法研究

The Study of Development Approach and XML Information Excavating Based on Visual Basic

基于Internet的信息挖掘研究

Research on the Information Mining Based on Internet

Web文本信息挖掘技术

Technique of Information Mining on Web Document

一种基于Web日志文件的信息挖掘方法

An Information Mining Method on Web Log

基于XML的Web实时信息挖掘

Web Data Mining for Real-time Information Based on XML

基于Internet信息挖掘的Agent通信协议

Internet Information Mining Based Agent Communication Protocols

Web访问信息挖掘系统

Web Usage Mining System

通过Web统计信息挖掘研究股市反应是网络金融课题，属于典型的计算机和金融的交叉学科。

The study of stock volatility based on Web statistic information mining is a typical computer science and finance interdisciplinary subject .

论文针对Web环境下中文文本信息挖掘的具体问题，主要研究中文文本信息挖掘的方法与实现技术。

Aim at the concrete problems of Chinese text mining based on Web , this paper mainly researched the methods and implement technique .

Web使用信息挖掘可以帮助我们更好地理解Web和Web用户访问模式，这对于开发Web的最大经济潜力是非常关键的。

Web usage mining can help us to understand Web and Web usage patterns deeply , which is crucial to devel - op full economic potential of Web .

Web信息挖掘技术可以有效地解决如何在异质、分布的Web上快速、有效地发现资源和知识，可以弥补搜索引擎的不足。

Web mining is a new technology and it can discover resources and knowledge quickly and efficiently , therefore , it can compensate the shortcomings of search engine .

实验表明，本文设计的模型能客观地描述客户行为，为从Web信息挖掘客户特征规则提出了一条有效的途径。

The paper also designs a model proved to be capable of describing customer behaviour objectively . It provides an efficient way to mine characteristic rule from web information .

作者采用了B／S模式架构了网络体系，使用了目前流行的分布处理模式JAVA&EJB中间件的思想来进行信息挖掘。

The author adopted the B / S mode to build network system and used the current popular distributed disposal mode named JAVA-EJB middle-piece to make information exhumation .

WWW信息挖掘技术及其在水利水电领域中的应用

Application of WWW Mining Technology in Region of Water Resources & Hydropower Information

信息挖掘是目前人工智能领域和计算机应用领域研究的重要课题之一，基于Web的中文文本信息挖掘是信息挖掘的一个重要方面。

Information mining is an important research issues in the domains of artificial intelligence and computer application . Chinese text mining based on web is an important aspect of information mining .

该方法基于IP包信息挖掘出用户的频繁行为模式，能自动建立正常和异常的用户行为规则库；

According to this method , user 's behavior patterns are mined from IP packets , and used to build user 's behavior rules base automatically .

Web企业信息挖掘是Web数据挖掘的一个具体应用，主要针对用户所关心的大量企业信息进行数据挖掘的过程。

Enterprise Web data mining , which is a concrete application of Web data mining , is a course of the data mining for the mass enterprise information concerned by the users .

实践表明，该算法在频繁变化的数据集中的挖掘效率大大高于传统的非增量挖掘算法，基于智能Agent技术的商务信息挖掘模型有效地提高了电子商务的实时跟踪与分析能力。

Experiments show that the algorithm is efficient for data set changed frequently . Based on agent technology , ability of tracking and analyzing commerce information in real time is promoted effectively .

在Web挖掘中，基于Web的用户访问信息挖掘应用最为广泛，应用领域涉及电子商务、网络广告、智能推荐系统、网络营销、智能决策领域。

The web usage mining is the most wide used method , which is used in the field of e-commerce , internet ads , intelligent recommendation system , internet marketing , and intelligent decision support .

面向主题的WWW信息挖掘系统

Topic-Driven Web Information Mining

介绍了Web挖掘的基本情况，分析了Web使用信息挖掘的步骤.提出了基于Web使用信息挖掘的个性化推荐算法，并将其运用到网络教学中，得出了个性化的网络教学体系结构。

And the process of Web usage mining was simply analyzed . Based on Web mining , personal recommendation algorithm was presented . Finally , a system structure of Web education based on the algorithm was put forward .