2) multi dimentional data mining
多维数据挖掘
1.
This paper here, first, the significance of locating mining space correctly during the process of multi dimentional data mining is elucidated; then, a neural networks model for locating data mining space is proposed and a experimental result shows that this model can be used to locate the correct mining space; finally, the merits and demerits of this met.
多维数据挖掘是基于数据仓库系统的重要决策支持技术 ,遗憾的是 ,由于多维数据的复杂性使数据挖掘的效率和实用性都很差 。
3) 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
4) 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。
5) DM
数据挖掘
1.
Evaluation Criterion and Method of DM Algorithm;
数据挖掘算法的评价标准与方法
2.
DM in the Application of Knowledge Management for Tax Resources Monitoring;
数据挖掘在税源监控知识管理中的应用
3.
It adopts the KDD(Knowledge Discovery in Database) and DM(Data Mining) to mine rolling process database, A schedule model which combines knowledge model and mathematical model was used online to improve the existing schedule model.
该方法采用知识发现(KDD)和数据挖掘(DM)对轧制运行数据库进行挖掘,建立知识模型和数学模型相结合的负荷分配模型。
6) datamining
数据挖掘
1.
Preliminary analysis of plant encoding genes by datamining from a MySQL Database;
基于MySQL数据库的植物编码基因数据挖掘初步分析
2.
Research on the Optimization of Process Parameters Based on DataMining;
基于数据挖掘的工艺参数优化研究
3.
The study of rough set method in datamining;
数据挖掘的粗集方法研究
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