这一需要导致数据挖掘系统以公共的方式操作数据。
This requirement leads a data-mining system to operate on the data in a common manner.
探讨了数据挖掘系统的一般实现过程和结构。
Of the data mining system, it is to achieve the general process and structure.
本文主要研究基于粗集属性约简的数据挖掘系统。
This paper researches a data mining system based on attributes reduction of rough set theory.
本文主要研究基于粗集的增量算法的数据挖掘系统。
This paper research a data mining system based on incremental updating algorithms of rough set theory.
本文介绍一个数据挖掘系统的设计思想和实现技术。
This paper introduces the design idea and implementation technology of a Data Mining System.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
The data mining system can discover association rules and decision rules.
实例表明该数据挖掘系统能够对缺陷的发生进行有效的预测。
In this examples, it is indicated that the defect can be forecasted effectively in the data mining system.
数据挖掘查询语言的设计是开发新一代数据挖掘系统的关键。
The design of data mining query language is the key of exploring new data mining systems.
近年来，空间数据挖掘系统的开发及应用已取得了极大的进展。
Development and applications of spatial data mining systems have significant advancements over the recent years.
公交IC卡数据挖掘系统是进行公交客流od获取的基础平台。
Bus IC card data mining system is the basic platform for obtaining the transit passenger OD.
因此，为挖掘特定类型的数据，应当构造特定的数据挖掘系统。
So, in order to excavate specific types of data, specific data mining system should be constructed.
此外，本文所提出的对象模型同样适用于其它的数据挖掘系统。
In addition, the object model provided in this paper is also suitable for other data mining systems.
近年来，空间数据挖掘系统的开发及应用已取得了极大的进展。
Zoning effect in spatial data mining and its application in coal mine;
例如，自动数据挖掘系统能够在无人看到数据的情况下搜寻可疑行为模式。
For example, an automatic data-mining system could seek patterns of suspicious behavior, without allowing any human being to see the data.
研究了数据挖掘的主要理论和技术，数据挖掘过程和数据挖掘系统的原型框架。
The paper studied the main theory and technology of data mining, the procedure of the data-mining and the based frame of a data-mining system.
为了提高数据挖掘的速度和精度，提出了可重构的数据挖掘系统框架设计方案。
A design of reconfigurable data mining systematic framework is proposed to improve speed and precision.
在分析了粗集的各种算法之后提出并实现了一个基于粗集的数据挖掘系统RSDMS。
A rough set based data mining system named RSDMS is put forward and realized after the analysis of algorithms in rough set.
本文提出的商业数据挖掘系统包括数据准备层、数据预处理层、挖掘评价层三个层次。
The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation.
最后，在以上研究的基础上，集合数据库、面向对象等技术实现了股票数据挖掘系统。
Finally, based on researches above, we implement the data mining system of the stock with aggregation database and object oriented technology.
通过钻井机械故障诊断数据挖掘系统的运用实例，验证了该诊断方法的正确性和实用性。
The validity and practicability of the new diagnosis method were proved by the application case history of the data mining system for drill…
运用BP神经网络算法建立数据挖掘系统对解决煤炭行业中出现的实际问题有重大的意义。
Problems such as high noise data can be solved by using the user analysis model based on data mining, which is built with the application of BP Neutral Network Algorithm.
XML的内容独立性和平台无关性使它可以作为不同数据挖掘系统中描述挖掘结果的统一形式。
It's the content and platform independence of XML that enables XML to be the unified form of describing mining results in different mining systems.
最终将该实时数据预处理系统集成应用于数据挖掘系统和其他与实时数据关联的信息集成系统之中。
Finally, the real-time data pre-processing system integrated in data mining systems and other information systems associated with the real-time data.
将半结构化数据表示为基于XML 的文档需要一个健壮的数据挖掘系统来支持XML消费、操纵和输出。
Representing semi-structured data as an XML-based document requires a robust data-mining system to support XML consumption, manipulation, and output.
根据数字档案馆中的数据挖掘形式与实现方法分析，提出应用在数字档案馆中的数据挖掘系统工作流程。
Through a brief analysis and realization methods of the data mining form process for data mining system which applied in digital archives is introduced.
目前，该研究领域的两个重要问题式设计合适的分布式数据挖掘系统的体系结构和相应的分布式挖掘算法。
Presently, the two important matters in this field are that, design for suitable architecture of distributed data mining systems and corresponding distributed mining algorithms.
它将数据挖掘划分为三个层次：算法层、商业逻辑层、行业应用层，构建了一种新型的数据挖掘系统体系结构。
CIAS constructs a novel data mining system architecture which divides data mining into three levels: algorithms, business rules, industry application.
反恐数据挖掘系统会进行跨海量数据库的搜寻，以发现可疑行为的征兆，这些数据库保存有竭力躲避监控的人员信息。
Counterterrorism "data mining" systems hunt for signs of suspicious activity across vast databases of information about people who donot wish to be spied upon.
反恐数据挖掘系统会进行跨海量数据库的搜寻，以发现可疑行为的征兆，这些数据库保存有竭力躲避监控的人员信息。
Counterterrorism "data mining" systems hunt for signs of suspicious activity across vast databases of information about people who donot wish to be spied upon.
应用推荐