数据挖掘技术

Web日志数据挖掘技术是一种广泛运用于互联网的技术。

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

基于近似网页聚类的Web文本数据挖掘技术

A Web Text Data Mining Technology Based on the Approximate Pages Clustering

数据挖掘技术在Web网站安全中的应用

Application in Data Mining in Security of Web Sites

基于XML的WEB数据挖掘技术系统框架的设计

System Framework Design of Web Data Mining Technology Based on XML

将传统的数据挖掘技术与Web结合起来，进行Web挖掘就是一个途径。

Web mining which combine classical data mining technology with web is an appropriate approach .

Web数据挖掘技术及实现

Web data mining technique and realization

XML与Web数据挖掘技术

XML and web data mining technique

结合Web数据挖掘技术，PNTM面向学习者提供个性化的推荐服务和个性化的定制服务。

Combining with Web data mining technology , this model provide student with personal recommendation service and personal customization service .

讨论了面向Web的数据挖掘技术的复杂性和XML语言在数据挖掘中的应用。

The complexity of data mining on Web and the applications of XML language in data mining are discussed .

Web使用挖掘是将数据挖掘技术应用于Web日志数据，从而发现用户行为模式的过程；

Web usage mining is the process of applying data mining technique to the discovery of user behavior patterns based on Web log data .

将数据挖掘技术应用到传统的入侵检测系统之中，设计了基于改进的Apriori挖掘算法的入侵检测系统模型。

Designing a IDS model based on the improved Apriori algorithm .

基于多Agent系统的数据挖掘技术，能够综合应用多种挖掘算法，实现数据挖掘的并行操作。

Based on the data mining technology of multi agent system , can synthesize application various mining algorithm is synthetically applied , and data mining parallel operation is realized .

AHP方法的创新，本文采用将数据挖掘技术与传统的AHP层次分析法相结合的方式，对客户数据进行多层次筛选和分析。

The article combined data digging technique with traditional AHP , screened and analyzed the clients ' data in multi-level .

Web使用挖掘利用数据挖掘技术从Web数据中发现使用模式，从而可以更好地理解和服务基于Web应用的各种需要。

Web usage mining is a method of applying data mining technique to discover usage patterns from Web data , so the needs of Web-base applications can be understood and served best .

SAS数据挖掘技术是众多数据挖掘方法中的佼佼者，它在大型企业中得到很好的应用。

The SAS data mining technique is applied in to a wide application in the sizeable enterprise .

讨论了基于Web数据挖掘技术对机械产品概念设计的支持。用Java实现网页上数据挖掘并将结果存入数据库；

Discusses the data mining on Web support the computer aided conceptual design system and course of the data mining base on Web by Java and stores the results into database .

面向CRM的数据挖掘技术是本论文的研究重点，本文阐述了数据挖掘技术的产生背景、基本概念、技术特点及一般实施过程。

The data mining 's origin background , the base concept , the technology characteristic and the general process are expatiated first .

CRM知识管理是现代管理的一种先进管理思想，集数据挖掘技术和智能分析为一体。

CRM knowledge manage is an advanced manage idea in modern management , which combined data mining and intelligence analyses into a body .

本文对数据挖掘技术和智能检测代理在入侵检测系统中的应用进行研究，提出了一个基于数据挖掘、Agent技术的入侵检测系统框架。

The application of data mining and agent technique in intrusion detection system will be studied in this paper , and a framework based data mining and agent technique will be put forward .

与此同时，本文探讨了数据挖掘技术的应用现状、决策树的生成算法和剪枝技术以及BP神经网络算法的相关知识。

At the same time , it discusses the present status of data mining application , the decision-tree generation algorithms , pruning techniques and back propagation neural network algorithm .

最后，就如何在决策支持系统中运用OLAP技术和数据挖掘技术进行了展示。

Final , carries out display for how to use OLAP technology and data excavation technology in decision support system .

本文主要着重于数据挖掘技术在保险业CRM系统中的应用研究。主要采用了分类树和关联规则方法，来发现隐含在客户行为中的规则，将抽象的数据转换成用户可以利用的信息。

Decision tree and rule-based method are adopted to explore the possible rules in customer business behavior and transform the raw data into useful information .

WUM作为当前一项热门的Web数据挖掘技术，可以为用户提供个性化、智能化的支持。

WUM as one of the hottest technology in Web Data Mining can provide individual and intelligent support for users .

DNA序列分割作为DNA序列分析中的一部分正受到越来越多人的关注，引入数据挖掘技术是提高DNA序列分割有效性的一个重要途径。

As an important part of DNA sequence analysis , DNA sequence segmentation is becoming a hot problem . Using data mining technology is a useful way to improve the effect of the segmentation .

在分析传统基于Web的计算机辅助教学系统模型和存在问题的基础上，提出一种基于Web的智能课件模型，并着重分析了系统实现过程中的数据挖掘技术。

On the basis of analysis of the traditional Web courseware and its problems , this paper puts forward an intelligent Web courseware model , and analyzes the corresponding data mining technology in the course of its realization .

在校园网学习系统中嵌入Web挖掘模块，运用数据挖掘技术对服务器上的日志文件等Web数据进行挖掘，可了解用户的访问行为，提供个性化的服务。

The Web Mining modularization embedded the campus net study system , The user ` s browsing behavior can be discovered by applying data mining technology on web data such as server logs , Provide service of individuation .

因此，采用数据挖掘技术从WWW上提取出有价值的知识，提高WWW的服务效率，是具有十分重要的现实意义和广泛的应用前景。

So obtaining valuable information form WWW by data mining technology , improving serving efficiency of WWW has tremendous application values .

将GIS与空间数据挖掘技术应用到流程工业CIMS中，并结合流程工业的特点，讨论了利用RoughSet理论对数据进行预处理的方法；

Applied with GIS and spatial data mining in CIMS and aimed at the characteristic of process industry , the method with rough set theory which is used to data preprocessing is discussed .

利用数据库和数据挖掘技术设计了以顾客为导向的电信产品市场细分应用案例，给出了基于质量功能配置（QFD）进行营销设计的概念程序，提出了基于质量工具集成的改进模式。

The thesis presented concept program improving model based on QFD in marketing design through a case study on telecom service market segment designed with database and data mining technology .

探讨了流程工业CIMS中实现知识管理系统的关键技术，它包括数据挖掘技术、搜索引擎技术和知识库的建立等。

It discusses the key technologies of application of knowledge management for CIMS in process industry , which includes Data Mining , Searching Engine and the construction of Knowledge Database .