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。
This paper research a data mining system based on incremental updating algorithms 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。
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。
We also analyze the particular characters that a well-formed distributed data mining system should have in its architecture.
随后分析了分布式数据开采系统的体系结构应该具有的特点。
We also analyze the particular characters that a well formed distributed data mining system should have in its architecture.
随后分析了分布式数据开采系统的体系结构应该具有的特点。
In the last, the diagnostic pattern data mining system from fault case database of reciprocating compressor is demonstrated.
最后以往复式压缩机实例挖掘系统为例说明了该原理的应用。
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。
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。
The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation.
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 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。
Through a brief analysis and realization methods of the data mining form process for data mining system which applied in digital archives is introduced.
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。
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。
And my company 1 to 2 years, the building of data warehouse and data mining system of planning, I am also active in this regard efforts to study, to meet future needs.
而且我公司1 ~2年内，有建立数据仓库与数据发掘系统的规划，我也积极的在这方面尽力研习，以顺应未来需求。
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。
The data mining results are based on the accurate measurement of parameters required, the correction of data on-line collection directly affect the results of data mining system.
而实时数据的准确性是运行各种数据挖掘工具的前提和基础，实时数据采集的正确与否直接影响在线计算的结果。
Take CRISP-DM as guide principle, we divide data mining into 6 steps from business perspective. At last, this text desighned a data mining system for civil engineering estimation.
以“跨行业数据挖掘过程标准”（CRISP-DM）为指导准则，从商业的角度将土建工程概算的数据挖掘过程分6个阶段有效的执行。
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。
In the light of these problems, storing results mined is the main direction to be researched. Improved data mining system structure is suggested, and the characteristics are analyzed.
针对这些问题，主要选定存储数据挖掘结果的方向进行研究，提出了改进的数据挖掘体系结构，并对它的特点进行了分析。
Pattern base management system is added, which manages result pattern. With this history patterns can be used available and the efficiency of whole data mining system can be improved.
通过在并行数据挖掘体系结构中增加模式库管理系统，对数据挖掘的结果模式进行存储和管理，从而有效利用了历史模式，提高了整个数据挖掘系统的效率。
Meanwhile, the paper discusses the problem of data visualization, and resolves it using neural network technique, describes the whole process of building a neural network data mining system.
本论文还简要讨论了在数据库中发现知识的数据可视化问题，并采用神经网络技术解决该问题，描述了建立一个神经网络数据挖掘的全过程。
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。
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。
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