The combination of them produced the technology of visual data mining.
这两者的结合便产生了可视化的数据挖掘技术。
Data mining combines with data visualization to form visual data mining.
数据挖掘和数据可视化技术的结合形成可视数据挖掘。
Trends are clarified based on the task and object of Visual Data Mining.
基于可视化数据挖掘的任务和目标，阐述了可视化数据挖掘技术的发展趋势。
Dataware is builded based on his. The visual data mining is applied to organize and manage a large amount of historical data and aimed to support management and decision-making.
在医院现有信息管理系统基础上，建立数据仓库，利用数据挖掘可视化技术，对海量历史数据进行组织和管理，用来支持管理决策。
The expanded DM2 platform has extremely capacity to handle large data sets, excellent ability to interact with database and human visual interfaces of data mining.
扩展后的DM 2平台具有极强的处理大数据集的能力，优异的与数据库交互的能力，人性化的可视化数据挖掘界面。
To integrate the results of clustering data mining and based on visual model requirement, network structure diagram of HQDS would be drawn, gene network structure be study with RT-PCR.
结合挖掘结果，运用网络结构可视化思想构建心气虚证网络结构图，并运用逆转录聚合酶链反应(RT - PCR)探索心气虚证基因网络结构。
To integrate the results of clustering data mining and based on visual model requirement, network structure diagram of HQDS would be drawn, gene network structure be study with RT-PCR.
结合挖掘结果，运用网络结构可视化思想构建心气虚证网络结构图，并运用逆转录聚合酶链反应(RT - PCR)探索心气虚证基因网络结构。
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