1) Semantic Data Mining
语义数据挖掘
1.
Research on Semantic Data Mining Technique of Chinese Information;
中文信息的语义数据挖掘技术研究
2) Data mining language
数据挖掘语言
1.
Analysis and Application of Next Generation Data Mining Languages;
新一代数据挖掘语言分析及应用
3) data mining primitive
数据挖掘原语
1.
At first, summarized the contents that a group of good data mining primitives should include.
文章首先总结了一组好的数据挖掘原语应该包括的内容,然后详细阐述了一种数据挖掘查询语言(DMQL)的各种语法,最后给出了一个实例。
4) semantic mining
语义挖掘
1.
The application of semantic mining for intelligent acquisition,analysis and processing of unstructured data and information can help the enterprise establish the economical and effective competitive intelligence flow quickly.
语义挖掘是一种从非结构化数据中准确地提取有用信息和知识的新兴数据挖掘技术。
2.
By researching the doubleaction dependent relation of implication theme and observation input,this model is extended to two layer random field model,which conducts the semantic mining to news video.
通过研究隐含主题与观测输入之间的双向依存关系,将其扩展为双层随机场模型,从而对新闻视频进行语义挖掘。
5) data mining
数据挖掘
1.
Improvement in second cooling control of slab continuous casting by data mining technology;
基于数据挖掘技术改进板坯连铸二冷控制
2.
Application of data mining in upgrading of CC process control system;
数据挖掘在连铸过程控制系统改造中的应用研究
3.
The application of data mining technology on flexible PVC formulation experimental research;
数据挖掘技术在软质聚氯乙烯配方实验研究中的应用
6) date mining
数据挖掘
1.
In consideration of the demand by the mine date resource informationa lization and mine management rationalization,and based on a deep going analysis of the mine date and management information,combine with the characteristics of mine produce system,the mine date mining oriented mine management system structure is proposed and applied,make a resolution of the many mine but one mill run s problem.
针对当前矿山数据资源信息化及生产管理合理化的需求,在对矿山数据和管理信息等进行深入分析的基础上,根据矿山生产系统的特点,提出了面向矿山管理的生产数据挖掘的体系结构并加以应用,解决了多采一选采、选协调模型的建模难题。
2.
The decision support system (DSS) for greenhouse constructs of data warehouse and date mining technology.
温室决策支持系统是采用数据仓库技术和数据挖掘技术构建的。
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。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条