1.
Study of Customer Requirments Based on Internet Banking;
网上银行CRM的客户信息发掘研究
2.
Research on Digging and Using the Potential Information Resources of Tianjin;
发掘利用天津市潜在信息资源的研究
3.
Exploring and Eeveloping Information Resources Utilization of the Environment of the Network;
网络环境中信息资源的发掘与开发利用
4.
By inference it is possible to dee-pen information, enlarge the volume of information, to cause the infor-mation to multiply, to excavate the Potential action of information.
通过推理,可促进信息深化,扩大信息量,使信息增值,发掘信息的潜在作用。
5.
Analysis of Data Mining During the Informationalization of Urban Commercial Banks;
城市商业银行信息化发展中的数据挖掘分析
6.
On mining the method of supply chain performance assessment from shared information;
从共享信息中发掘供应链性能评价方法研究
7.
Sequential Pattern Mining in Software Repository
序列模式挖掘在软件开发信息库中的应用
8.
Usage of Web Data Mining in Public Security Monitor;
Web信息挖掘在公共信息安全中的应用
9.
As society becomes more information-rich, the easier it will be to find uses for discarded materials.
社会的信息化程度越高，我们就越容易发掘废料的用途。
10.
The reflection on two cases-how to dig the deep information of the kidnap and extortion crime
由两起案件引发的思考——如何挖掘绑架勒索犯罪深层次信息
11.
The Excavation of the Potential of M-Commerce on the Use of Exploration and Integration of Information Resource;
利用信息资源的开发与整合挖掘未来移动商务潜力
12.
On How to Tap the Latent Power of Librarians Developing the Information Resources of Literature;
论如何挖掘图书馆员开发文献信息资源的潜在能力
13.
However,the techniques of Data Mining can mine available information from the sea of data,eliminating the unavailable data.
而数据挖掘技术正是用于在庞大的数据中发掘有用的信息,去处无用之数据。
14.
A Study on Information Exploitation Strategy and Method When Retailers Share POS Information with Suppliers;
供应商共享POS信息时的信息挖掘策略与方法
15.
The development of data-mining and KDD and its applications in the information system are discussed.
从信息系统发展的角度综述了知识发现的发展及知识发现过程中数据采掘的方法和应用。
16.
Data Mining Based Data Fusion Theory and Its Applications
基于数据挖掘的信息融合理论和应用
17.
Study on Extraction of Soil Information and Data Mining by Hyperspectral Remote Sensing
高光谱遥感土壤信息提取与挖掘研究
18.
The Research and Implementation of Massive Short Message Mining Technology;
海量短语信息挖掘技术的研究与实现