How to put the technology of Data Mining into the field of retail industry is the key of this thesis.
如何将数据挖掘技术应用在零售业领域正是本文研究的重点问题。
The technology of data mining, growing in the late 1980s, was developed in such a business perspective.
八十年代末兴起的数据挖掘（Data Mining）技术，就是从这样的商业角度开发出来的。
At present, the technology of data mining has been widely used. However, it is also facing great challenges.
目前，数据挖掘技术在得到了广泛应用的同时也面临着较大的挑战。
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。
The technology of Data mining means to find connotative, novel and useful information out of database, and it is widely used in many realms.
数据挖掘是指从数据库中发现隐含的、新颖的、有用的信息的过程，已经在许多领域得到了广泛的应用。
The CRM system, the Data warehouse, the OLAP (online analysis processing) and the technology of Data Mining are introduced in detail in the paper.
文中详细介绍了客户关系管理系统、数据仓库、联机分析处理和数据挖掘技术。
This system proves the correctness of the optimization policy and makes a useful attempt in using the technology of Data Mining in the field of post.
该系统验证了优化策略的正确性，为数据挖掘技术在邮政领域的实用化做出了有益的尝试。
This paper introduces the profitable trial about how the technology of data mining is led in the teaching evaluation under the environment of network.
该文介绍了把数据挖掘技术引入网上教学评价中的有益尝试。
In this system the technology of data Mining is used for analyzing. Processing and predicting the existing data, providing assistance for decision-making.
在该系统中，运用数据挖掘技术实现了对现有数据的分析、处理，以及对未来情况的预测，为决策支持提供辅助。
Thirdly, it illustrates how to apply the technology of data mining to demand chain management from three aspects, which are customer management, suppliers management and logistics management.
然后文章主要探讨了需求链管理与数据挖掘技术相结合的应用方法，阐述了在客户管理、供应商管理及物流配送管理中运用数据挖掘技术所能解决的问题。
Tayloe Stansbury, Intuit's chief technology officer, says that most of the firm's data mining is geared to helping its customers.
TayloeStansbury,Intuit公司的首席技术官，表示该公司的大多数数据挖掘是为帮助需要服务的客户。
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 algorithm makes use of the clustering technology of data mining, can apply to general radar and special radar.
这种算法利用了数据挖掘中的聚类技术，可用于常规雷达和特殊雷达的信号分选。
However, as the amount of the log audit date is too large, we can apply data mining technology into security mode rule extraction.
但由于这些日志审计数据量非常庞大，因此采用数据挖掘技术从中进行安全模式规则的提取。
Based on introduction in database technology, the paper discusses the data processing technology of goods, especially the data mining technology applying in a high rack warehouse.
在介绍数据库技术的基础上，深入讨论了货物的数据处理技术，尤其是数据挖掘技术在立体仓库中的应用。
Thus, the birth of data mining technology.
于是，诞生了数据挖掘技术。
The circumstances of rich data and lack of knowledge lead to the emergence of technology of data warehouse and data mining, and arouse the interests of people in various fields.
数据丰富而知识贫乏的状况导致了数据仓库和数据采掘技术的出现，引起了许多不同领域的人们的极大关注。
Take data warehouse as foundation, with the aid of on Line Analytical Processing and data Mining technology, the composition and design of enterprise Decision Support System are put forward.
本文以数据仓库为基础，与目前流行的联机分析处理、数据挖掘等技术相结合，提出了基于此的决策支持系统的设计。
Data Mining technology is an effective method for overcoming the limitation of current IDS.
数据挖掘技术是克服目前入侵检测系统局限性的一种有效方法。
Moreover, we research the application of OLAP and data mining technology in the data warehouse.
并研究了OLAP及数据挖掘在该数据仓库中的应用。
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 second part of this dissertation mainly focuses on the thermal engineering process operation optimization and some applications of the data mining technology in this field.
文章第二部分的研究内容主要集中在热工过程运行优化以及数据信息采掘技术在这一领域内的一些实际应用。
From the end of last century, with the Data Mining technology maturing gradually, the research on applying Data Mining technology into fraud detection becomes one important research field.
从上世纪末开始，随着数据挖掘技术的逐渐成熟，在欺诈识别中应用数据挖掘技术的研究成为一个重要研究领域。
Active Spatial data mining technology is used in the processes of alarm data fusion, data mining and knowledge discovery.
其中主动空间数据挖掘技术主要体现在数据融合，数据挖掘和知识发现的过程中。
Clustering method is the core of data mining technology.
聚类算法是数据挖掘的核心技术。
This paper introduces the application and role of data mining technology in the hospital management.
介绍数据挖掘技术在医院的应用及其对医院管理的作用。
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。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
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