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1)  visial data mining
数据挖掘可视化技术
2)  visual data mining
可视化数据挖掘
1.
the Application of Visual Data Mining Technology in the CRM of Insure Industry;
可视化数据挖掘技术在保险业CRM中的应用
2.
System-prototype of visual data mining based on OLAM;
一个基于OLAM的可视化数据挖掘系统原型
3.
The visual data mining technology is also mainly discussed according to classification of information, so reliability and high efficiency of data management and control under shar.
从港口物流信息的特点入手,提出基于控制理论的信息流程图,并围绕流程图中的信息输入与输出反馈两大部分提出港口物流信息平台建设的关键问题;结合港口物流信息平台实例,重点讨论共享架构的执行现状、意义和技术路线,并按照信息的类型,分别讨论针对空间信息和属性信息的可视化数据挖掘技术手段,从而保证信息平台在共享架构下实现可靠高效的数据管理与控制。
3)  data mining visualization
数据挖掘可视化
1.
Application and research of data mining visualization techniques;
数据挖掘可视化技术应用与研究
4)  visualization data mining
可视化数据挖掘
1.
By applying visualization data mining to the analysis of scientific text and reviewing the evolution new ideas and new methods of management science and engineering research this paper compared the distributions of research potential and research capability between of the domestic and of the abroad.
通过可视化数据挖掘方法的研究,使用数据挖掘和科技文本分析的方法,获取管理科学研究的新进展、新思想和新方法。
5)  Chemical data mining technology
化学数据挖掘技术
6)  data mining technology
数据挖掘技术
1.
Crystallization of the products calculated with XRD data of the products was used as testing indexes,and application of uniform experimental design as well as data mining technology were applied in the test.
用产物XRD图谱数据计算得到的结晶度作为试验的考察指标,试验中应用了均匀设计试验法及数据挖掘技术,在数据挖掘成果的指导下进行了试验。
2.
Crystallization calculated with XRD data of the product was used as the testing index,and application of uniform experimental design as well as data mining technology were used in the test.
文献[13]报道结晶度对功能材料的性能有着重要的影响,故本文在实验中尝试应用数据挖掘技术[14]研究合成条件对产物结晶度的影响,得到结晶度较好的产物。
3.
Uniform experimental design and data mining technology were applied,and the synthesis tests were made with reference to the results of data mining technology.
基于均匀设计实验方案以及数据挖掘技术的应用,在数据挖掘成果的指导下进行了实验。
补充资料:数据挖掘研究院

数据挖掘研究院(china data mining research,cdmr)是一个专注于数据挖掘及其相关技术的讨论组织,参与者都是数据挖掘及其相关学科的爱好者。作为论坛的组织者我们也是数据挖掘的忠实爱好者,希望能够利用一些有限的资源为中国数据挖掘营造一个良好的发展环境。

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