Thus, the birth of data mining technology.
于是，诞生了数据挖掘技术。
Clustering method is the core of data mining technology.
聚类算法是数据挖掘的核心技术。
This topic in development USES data warehouse and data mining technology.
本课题在开发中使用数据仓库及数据挖掘技术。
I would like to focus on bio-informatics, database and data mining technology.
我希望可以专注于生物信息学，数据库和数据挖掘技术。
Data mining technology can find some valuable knowledge from large amounts of data.
数据挖掘技术可以从大量的数据中发现某些有价值的知识。
This article applied to the data mining technology in the human resources management.
本文对数据挖掘在人力资源管理中的应用进行了研究。
The flatness defect pattern recognition based on data mining technology was proposed.
介绍了建立带钢板形缺陷模式识别的数据挖掘过程。
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。
Present a system framework of intelligent DSS based on click-stream data mining technology.
提出基于点击流挖掘技术的商务智能辅助决策系统框架。
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 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 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。
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。
Data warehouse and data mining technology is one hot problems of information technology research at present.
数据仓库和数据挖掘技术是目前信息技术研究的热点问题之一。
The major technology include application of CTI technology, data mining technology and work flow technology etc.
其主要技术包括应用cti技术、数据仓库技术和工作流技术等。
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。
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。
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。
This paper mainly research on how to use data mining technology to develop personal financing business for business banks.
本文重点研究了我国商业银行如何利用数据挖掘技术来开展个人理财业务。
The data mining technology appearance has provided the powerful tool and the method to the information processing and gain.
数据挖掘技术的出现给信息的加工和获取提供了强有力的工具和手段。
Data mining technology can find useful information for decision-making from massive history data thus it has been applied widely.
数据挖掘技术能从海量数据中，发现对决策有重要作用的信息，因而得到广泛应用。
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。
Data mining technology is an effective tool to support the analyses of enterprise 's fund dispatcher and improve fund flowing effective.
数掘挖掘技术是支持企业资金调度决策分析和提高企业资金运营效果的有效工具。
Introduces the data mining technology into telecom fraud detection field, present a model of telecom fraud detection based on data mining.
将数据挖掘技术具体应用到电信欺诈侦测领域中，提出了一种基于数据挖掘的电信欺诈侦测模型。
Data mining technology can help us discover useful schema from great capacity of data, and has become a new hotspot in database research field.
数据挖掘技术，可以帮助我们从海量数据中发现有用的模式，已经成为数据库研究的一个新的热点。
On abroad, data mining technology has extensive application in the large-enterprises, such as business, finance, insurance, civil aviation etc.
数据挖掘技术在国外的大型商业、金融业、保险业、民航等大型企业得到了广泛应用。
This text have the data mining technology and credit card business analysis technology combined together, it is mainly used in credit card model.
本文将数据挖掘技术与信用卡业务分析相结合，主要分析数据挖掘技术在信用卡信用评分模型中的应用。
By using data mining technology and user behavioral analysis, this network will provide content more precisely to the doctors only when they need it.
利用数据采集技术和用户行为分析，这种新网络工作将在医生需要之时提供更精确的内容。
Emphasize on the application of data mining technology in credit assessment, customers and merchants value partition, customers consumptive preference.
主要是信用卡信用评估、客户价值的区分和客户消费偏好中的一些应用。
Emphasize on the application of data mining technology in credit assessment, customers and merchants value partition, customers consumptive preference.
主要是信用卡信用评估、客户价值的区分和客户消费偏好中的一些应用。
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