• 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。

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  • An application of data mining in the research of TCM syndrome theories.

    数据挖掘技术在中医证候学研究中的应用。

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  • The application of data mining in bioinformatics will gain more development.

    数据挖掘在生物信息学中的应用将取得更大的进展。

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  • From three aspects, we show the application of data mining in distance eduction system.

    本文从三个方面介绍了数据挖掘技术在远程教育系统中的应用。

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  • 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。

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  • The thesis chooses "application of data mining in environmental information management" as the topic.

    本文主要研究“数据挖掘技术在环境信息管理中的应用”。

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  • The paper studies the application of data mining in system of bank, and designs anti - Fraud system of credit card.

    本文探讨了数据挖掘技术在银行系统中的应用,并设计了一个信用卡反欺诈系统。

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  • So it is vital and valuable to investigate the application of data mining technology in express delivery profession.

    因此,研究数据挖掘技术在我国邮政速递业中的应用具有重要的价值。

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  • This paper described the actual application of data mining in banking customer segmentation, and also discussed its effectiveness.

    本文阐述了数据挖掘技术在银行客户细分中的具体应用,并对其有效性进行了探讨。

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  • We explore the application of data mining in the compatibility of formula. We also give an example and some approaches of research.

    探讨数据挖掘在方剂配伍规律研究中的应用,并给出例子和一些研究思路。

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  • Data mining and the common methods are introduced, and application of data mining in college physical network course is illustrated.

    本文介绍了数据挖掘技术及其常用方法,并列举了数据挖掘技术在大学物理网络课程中的应用实例。

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  • The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.

    运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。

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  • An application of data mining hierarchical clustering algorithms to technical-tactics analysis of badminton match was proposed in this paper.

    该文给出了数据挖掘中的层次聚类算法在羽毛球技战术分析中的一个应用。

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  • 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。

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  • Based on the theoretical research of data mining technology, the application of data mining technology in the talents cognition system was stated in this paper.

    本文在对数据挖掘技术的理论研究基础上,描述了该技术在人才认知系统中的应用。

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  • Analyze the application of data mining in Electronic Commerce from three aspects: the design of Web site, Customer Relationship Management and Internet Marketing.

    分析了数据挖掘技术在电子商务中的应用,并从电子商务网站设计、客户关系管理、网络营销三个方面进行了具体的阐述。

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  • Aiming at the application of data mining technology on forward business data, the forward prices and customers' behaviors are analyzed based on association rules.

    针对数据挖掘技术在期货交易数据中的应用,通过关联规则分析期货价格和客户行为。

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  • This paper gives a general introduction to data mining and the characteristics of TCM data mining and the current application of data mining in the field of TCM research.

    本文概括地介绍了数据挖掘的概念,中医药数据挖掘的特点,以及常见的数据挖掘方法在中医药领域的应用现状。

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  • Though the application of data mining in medical field just began. it is certain that the method will be widely used in medical field with the popularization of data mining.

    目前数据挖掘技术在医学领域的应用尚处于起步阶段,但随着该方法的日益普及,其必将在医学领域得到更加广泛的应用。

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  • The paper makes an introduction on the conception of data mining and its process, and discusses the application of data mining technology in library information seeking system.

    对数据挖掘的概念以及数据挖掘的过程进行了介绍。探讨了数据挖掘技术在网络信息咨询系统中的应用。

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  • With the wide application of data mining to modern business, the researches of data mining for outlier and influential point have been paid close attention to by economic and statistical circles.

    随着数据挖掘技术在现代商业中的广泛应用,对异常点和强影响点的挖掘成了经济、统计等领域广泛研究的课题。

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  • Thus the application of Data Mining in analyzing the attributes of GIS is discussed in order to support SDSS.

    因此,本文主要探讨数据挖掘在GIS属性数据方面的应用,旨在辅助空间决策支持。

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  • Conclusion The application of Data Mining technology offers a new way for engineering analysis method amelioration.

    结论数据挖掘技术的应用,为工程分析方法的改进提供了一种新的途径。

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  • In Stream Model of Industry, The application of Data Mining must bring higher product yield and quality, and create more benefit.

    在流程型工业中,数据挖掘的应用必定会给工业带来更高的产品产量与质量,以及创造更大的效益。

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  • 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。

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  • 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。

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