Bus IC card data mining system is the basic platform for obtaining the transit passenger OD.
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。
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属性约简的数据挖掘系统。
So, in order to excavate specific types of data, specific data mining system should be constructed.
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。
In this examples, it is indicated that the defect can be forecasted effectively in the data mining system.
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。
A rough set based data mining system named RSDMS is put forward and realized after the analysis of algorithms in rough set.
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。
The validity and practicability of the new diagnosis method were proved by the application case history of the data mining system for drill…
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。
Finally, based on researches above, we implement the data mining system of the stock with aggregation database and object oriented technology.
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。
The paper displays the key technology to implement data mining system on trait of telecommunication alarm data and the three steps of mining process.
本文针对电信数据的特点和挖掘过程的三个阶段，指出了系统实现的关键技术。
CIAS constructs a novel data mining system architecture which divides data mining into three levels: algorithms, business rules, industry application.
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。
Based on the concept, the paper systematically studies Rough Set, proposes a data mining system using Rough Set, and presents detailed design and implementation.
基于此构想，本文对粗糙集理论进行了系统研究，提出了一种新的基于粗糙集理论的商业数据挖掘系统，并给出了此系统的详细设计与实现过程。
Based on this, the equipment defect data mining system based on J2EE is developed, which can make good use of the current and history defect data of the equipments.
设备及缺陷管理系统集成了大量的设备运行及缺陷管理信息，在此基础上开发的基于J2EE的设备缺陷数据挖掘系统，可以对设备当前及历史的缺陷数据进行很好的利用。
After introducing the main framework, certain key points of the system are discussed in detail such as the building of data warehouse, online analysis system and data mining system.
本文给出了基于数据仓库的矿山企业DSS框架结构，对数据仓库、联机分析与数据挖掘系统构建中的问题进行了探讨。
But due to the inherent characteristics of the multi data source, multi type, multi temporal and multi resolution, one data mining system to excavate all types of weather data is unrealistic.
但由于气象数据的多数据源、多类型、多时相、多分辨率等固有的特点，指望一个数据挖掘系统挖掘所有类型的气象数据是不现实的。
It was introduced into mine prospecting to sort out the data and build data mining system framework model. Its introduction will be sure to play a role in supporting practical policy decision.
把数据挖掘技术引入到矿山的勘探开采工作中，并对数据进行了梳理，建立了数据挖掘技术的系统框架模型，这一技术的引进必将起到对实际决策工作的支持作用。
After studying the analysis and comparison of the realization techniques of spatial database system and spatial data mining systems, we propose a development model of spatial data mining system.
在对空间数据库系统实现技术及空间数据挖掘系统等进行比较分析的基础上，提出了一种空间数据挖掘系统的实现模式。
And then the Data Mining system and the process of Data Mining are analysed. At last some common methods of Data Mining are explained in detail.
首先介绍了数据挖掘技术的概念，然后对数据挖掘系统的构成和数据挖掘的流程进行了分析，最后详细分析了数据挖掘的常用方法。
Data Mining system can find lots of patterns, in which association rules that describe the interesting relations among the items in given data sets are the important area.
数据挖掘系统可以挖掘出多种类型的模式，而其中描述给定数据集的项之间有趣联系的关联分析模式就是一个非常重要的研究方向。
Representing semi-structured data as an XML-based document requires a robust data-mining system to support XML consumption, manipulation, and output.
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。
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.
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。
For example, an automatic data-mining system could seek patterns of suspicious behavior, without allowing any human being to see the data.
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.
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。
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