The key link of CRM data mining, problems and algorithm on data pre-processing, was researched.
对CRM数据挖掘过程的关键环节——数据预处理存在问题和算法进行了研究。
Analytical CRM generally makes heavy use of data mining and other techniques to produce useful results for decision-making.
分析性CRM通常大量使用数据挖掘和其它技巧为决策提供有用结果。
Our researches show that CRM theory based on the technology of data mining has broad prospects in the future society.
我们的研究表明，基于数据挖掘技术的CRM理论在未来社会中有着广阔的前景。
We put forward data mining procedure and its application field among CRM after describing the conception and frame of CRM and various data mining technologies.
在了解CRM的概念和框架、数据挖掘的各种技术后，还必须了解数据挖掘在CRM中的应用流程和应用的业务领域。
Analytical CRM USES data mining to analyze the data of customers and predicts their purchasing action.
分析型CRM使用数据挖掘技术对客户数据进行分析，并预测客户未来的行为。
In the face of customer data increasing explosively, data mining is the key to advance the decision-making efficiency in telecom CRM.
面对电信行业客户数据爆炸式增长，将数据挖掘技术引入电信客户关系管理中是电信企业提高决策效率的关键。
Customer clustering analysis in customer relation management (CRM) is a new study domain, and it is part of data mining.
客户关系管理(CRM)中的客户聚类分析是一个新的研究领域，属于数据挖掘的应用范畴。
Aimed at some application problems of data mining in telecom CRM, the thesis takes the study with the methods of theoretical analysis and empirical research.
本文运用理论分析与实证研究相结合的方法，针对数据挖掘在电信CRM中的若干个具体应用问题进行研究。
Application of data mining in CRM can improve and strengthen customer relationship management further so that it will bring more profits to enterprises than before.
数据挖掘技术应用于CRM中，能够加强和改善客户关系管理，从而为企业带来更多的利润。
At last, the author discusses the application of data mining in CRM from technology and application and solves practicalities through demonstration analyses.
最后从技术和应用的角度探讨了CRM中数据挖掘的应用，通过实证分析，发现和解决实际应用中的具体问题。
This paper mainly deals with the application of data mining in CRM.
本文主要论述了CRM系统中数据挖掘技术的应用。
Customer Intelligent Anylysis Platform, called CIAS, is introduced which applying data mining technology to CRM area.
CIAS是将数据挖掘技术应用在CRM领域而开发的一个客户智能分析平台。
This article mainly studies the data warehouse and the technology structuring the telecom CRM system on the basis of data mining.
本文主要研究在数据仓库和数据挖掘的基础上构建电信CRM系统的技术。
The content and procedure of the application of data mining in CRM is discussed in this paper.
该文对数据挖掘技术在CRM中的应用内容和过程进行了研究。
CRM can use data mining technology to find useful and unknown knowledge, and classify customers by using a clustering tool.
CRM利用数据挖掘技术发现客户数据背后隐藏的、有用的、未曾预料的知识。
At the end it points out how to apply data mining applications in CRM.
最后指出了如何在CRM中实施数据挖掘应用。
Recently, with the research of Customer Relationship Management(CRM) software, some new technologies such as data mining have been utilized widely in many fields such as market and customer analysis.
客户关系管理软件的兴起，使数据挖掘等技术在市场、客户分析预测方面得到了广泛使用。
This paper applies data mining technology to sales forecast module to meet the demands of decisions supporting in CRM.
论文针对CRM系统对决策支持方面的需求，将数据挖掘技术应用到销售预测中。
Data mining technology was analyzed in detail on base of CRM of construction ceramic enterprise, and the application of data mining in CRM was introduced.
本文在建陶企业客户关系管理的基础上，通过对数据挖掘方法的具体分析，阐述了数据挖掘在建陶企业客户关系管理中的应用。
We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell.
本文将数据挖掘技术应用到商业银行的客户关系管理系统中，为商业银行的客户分类和交叉销售提供了数据分析上的支持。
The related research aspect includes data warehouse and data mining technologies, construction of CRM systems and design of more effective data mining algorithms.
该领域包括对于数据仓库和数据挖掘技术的研究，CRM系统的构建，以及更加有效挖掘算法的设计等方面。
Determine the requirements of the CRM system by the content, essence, researching area and arithmetic using of the data mining.
根据数据挖掘内容、本质、研究领域及算法应用，确定CRM系统需求。
To solve the inefficiency of data mining, application of attribute reduction algorithm in CRM data preparation is studied.
针对银行CRM中的数据冗余大、数据挖掘效率低的问题，将基于属性约简的数据预处理方法应用在银行CRM中。
The good combination of data warehouse with data mining technology can effectively perform CRM in enterprise operation.
数据仓库技术与数据挖掘技术有机结合，可以有效地进行企业运作中的客户关系管理。
This paper discusses some of the key technologies in the implementation process of CRM systems in financial industry, meanwhile studies the bank CRM technology which basing on data-mining in detail.
本文具体探讨了金融行业的客户关系管理系统在实施过程的若干关键技术，同时对基于数据挖掘的银行客户关系管理技术进行了研究。
This paper focuses on research of analytical CRM application in the commercial bank by using Data Warehouse and Data Mining in the fields of individual banking business application.
本文主要研究了我国商业银行分析型CRM，从数据仓库与数据挖掘技术的角度来分析个人银行业务客户关系管理。
After an analysis of Data Mining technology and its application in CRM, we discussed the basic implement flow of Data Mining.
在分析了数据挖掘技术及其在CRM中的应用后，概述了数据挖掘技术在CRM中的基本实施过程。
If enterprises aim at creating profit, CRM is just the most useful tool to achieve it, and Data Mining is the best engine of this tool.
如果企业把利润作为自己的目标，客户关系管理则是达到这个目标的最有用的工具，而数据挖掘则是这个工具的最佳引擎。
If enterprises aim at creating profit, CRM is just the most useful tool to achieve it, and Data Mining is the best engine of this tool.
如果企业把利润作为自己的目标，客户关系管理则是达到这个目标的最有用的工具，而数据挖掘则是这个工具的最佳引擎。
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