Discussing Data Mining application in CRM and its implement step.
探讨了数据挖掘在CRM的应用及实施步骤。
Frequent pattern mining is a key problem in many data mining application.
频繁模式挖掘是多种数据挖掘应用中的关键问题。
Clustering or segmentation of data is an important data mining application.
数据聚类或分割就是其中的一种重要的数据发掘应用。
Mining maximum frequent itemsets is a key problem in many data mining application.
挖掘最大频繁项目集是多种数据挖掘应用中的关键问题 。
The integration in data mining application is an important direction in the research area.
数据挖掘的集成实现是目前研究的一个重要方向。
On this basis, we successfully implement a new data mining application in E-learning environment.
在此基础上，成功实现了一种新型的e - learning环境中的数据挖掘应用。
The topic of this paper is about the research on data mining application in school union test analysis system.
本文的主题是数据挖掘在中学会考数据分析中的应用研究。
At last, the data mining application of the red tide forecast is analyzed, and it proves that the system application is scientific and reas.
最后通过对赤潮预测的数据挖掘应用分析，验证了系统应用的科学合理性。
This paper introduces data mining technology, its application in medical care system, and data mining application in Gravida and Puerpera Management Information system.
介绍数据挖掘技术及其在医疗保健中的应用，以及数据挖掘在孕产妇管理信息系统中的应用。
Therefore, It possesses important theoretic and practical significance to make further improvement of decision tree algorithm, make it more suitable for data mining application requirements.
因此，进一步改进决策树算法，使其更加适合数据挖掘的应用要求，具有重要的理论和现实意义。
This article discusses the implication of this feature to warehousing environments, and application to solving OLAP and data mining problems is covered.
该文讨论了该功能对于仓库环境的隐含意义，并介绍了在解决OLAP和数据挖掘问题方面的应用。
The text mining application described in this article, Preston, analyzes documents to find mentions of peoples' names, and uses data mining to find groups of people who are often mentioned together.
本文中描述的文本挖掘应用程序称为Preston，它对文档进行分析，寻找提到的人名，并使用文本挖掘寻找常常同时提到的人。
We discussed the data mining technology in the future, and application of industry of commercial value.
我们讨论了数据挖掘技术，在工业界的应用，以及未来的商业价值。
Recently, our work focuses on the use of artificial intelligence technology for large data mining depth, to carry out a number of areas of application.
最近我们的工作重点在于利用人工智能技术对大数据进行深度的挖掘，开展多个领域的应用。
The content of this paper includes two respects: research of data mining algorithms and the system structure of the application platform of data mining.
本文的内容包括两个方面：关联规则挖掘算法研究和数据挖掘应用系统体系结构的研究。
This paper proposes a system design schema about Data Mining integration application, and put it into practice.
文章提出了一种数据挖掘集成应用的系统设计方案，并结合实际进行了实践应用。
In recent years, data mining has found wide application in market and client analysis and forecast.
近年来，数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。
The application domains of data mining in bank industry are wide, including client relationship management, risk analysis and profit analysis of financial products.
数据挖掘技术在银行领域可应用的范围非常广泛，如客户关系管理、风险分析与控制、资金匹配、金融产品的赢利分析等等。
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。
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。
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。
Association rule is a method of data mining, whose typical application is the analysis of shopping basket in supermarket.
关联规则是数据挖掘的一种方法，它的最典型的应用是超市的购物篮分析。
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。
CRM is an important application domain of data mining.
CRM是数据挖掘技术重要的应用领域。
This paper also introduces data mining technology with its application on the Regional Health Information System and the concrete process of applying data mining technology is discussed in detail.
同时介绍了数据挖掘技术及其在区域性卫生信息系统中的应用，详细讨论了一种具体的数据挖掘方法的应用过程。
The paper introduces the basic principles of data mining and its application in medical science.
介绍了数据挖掘的基本原理以及在医学领域的应用。
In the second and third chapters it introduces data mining and related problems, including the process, method, classification and application of data mining.
在第二章我介绍了数据挖掘及其相关问题，包括数据挖掘的过程、方法、分类和应用等。
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。
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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