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。
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。
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。
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。
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。
PoolParty is a commercial thesaurus management and SKOS editor system that includes text mining and linked data capabilities.
PoolParty是一个商用的词库管理与SKOS编辑系统，它包含文件挖掘与数据链接功能。
With Google's new Correlate system, companies have a powerful (and, free!) new data-mining tool on their hands.
通过Google新的Correlate系统，企业手头上会有一个强大(并且，免费！)的新数据挖掘工具。
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。
This paper proposes a system design schema about Data Mining integration application, and put it into practice.
文章提出了一种数据挖掘集成应用的系统设计方案，并结合实际进行了实践应用。
The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.
将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。
Then considering the concrete case of a manufacture enterprise, these algorithms of data mining are integrated with erp system by computer programming.
结合某汽车制造企业ERP系统的具体情况，编制程序实现了上述数据挖掘算法与ERP系统的整合。
This paper presents a diagnostic system of early colorectal carcinoma based on data mining techniques.
研究和开发一种基于数据挖掘技术的大肠早癌诊断系统。
Furthermore, the paper gives a model of Corporation Competitive Intelligence System based on data mining and its relevant process.
在此基础上提出了一个基于数据挖掘的企业竞争情报系统模型，并介绍了相应的过程。
In this paper, we introduce a design method about information expression system based on Data Mining in communication enterprises.
本文以通信企业为例，介绍了一种基于数据挖掘的信息展现系统的设计思想。
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。
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。
This paper puts forward a higher education decision support system (DSS) based on the research of data warehouse, data mining technique and decision support system.
本文通过对数据仓库、数据挖掘技术和决策支持系统的研究，提出了基于数据挖掘的高校管理决策支持系统。
The usage of the data mining and OLAP in the system is also discussed. The paper provides a decision support process for the system.
还研究了OLAP与数据挖掘在该系统中的作用，与该系统进行决策支持的一般决策过程。
The system structure is a multilayer system structure with five layers. They are user interactive layer, system program interface layer, mining core service layer, data access layer, database layer.
系统使用五层体系结构，分别为：用户交互层，系统编程接口层，挖掘核心服务层，数据库访问层，数据库。
This paper discusses data mining technology, presents a business decision system. Decision-making system on composition, process and use of data mining techniques are discussed.
本文首先讨论了数据挖掘技术，给出了一种企业决策系统。并就决策系统的构成、流程和采用的数据挖掘技术进行了探讨。
This paper brought forward a forecast system that based on J2EE combining the spirit of data mining and some improved data mining methods supported by SAS system.
本文利用数据挖掘的思想，结合SAS系统所提供的一些成熟的数据挖掘方法，建立了基于J2EE的数据挖掘的洪峰预测系统。
Data mining is an important problem in KDD, and Rough set as a theory of set with fuzzy boundary is widely applied to infer classification rules from decision system.
数据挖掘是知识发现领域的一个重要问题，粗糙集理论是一种具有模糊边界的数据挖掘方法，它被广泛应用于决策系统的分类规则提取中。
The conclusion is that the data mining of power project management should be supported by a certain data system and what how to coordinate the unstructured data information would be the key.
结论是，电力工程管理数据挖掘必须有一定的数据体系支持，对非结构化数据信息的整理是关键。
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。
Because of hierarchical requirement of situation assessment, we realized the securities situation assessment system (SSAS), and constructed a securities data mining method ontology database.
鉴于态势估计的层次化要求，本文使用分组多层黑板体系结构实现了证券态势估计系统(SSAS)，并且建立了证券数据挖掘方法本体库。
Secondly, under the guidance of data mining, make a detailed software design of traffic flow forecasting system.
其次，以数据挖掘技术为指导思想，对交通流预测系统进行详细的软件设计。
This paper presents a primary trial of data warehouse and data mining technologies in water supply system from many aspects, such as theories, system model and implement technique.
本文从理论、系统模式和实施技术等方面对数据仓库和数据挖掘技术在供水系统中的应用进行了一次初步的尝试。
Secondly, it puts forward a solution of network security audit based on data mining and builds a system model to solve the problems existing in current network security audit.
其次根据目前网络安全审计中存在的问题提出了基于数据挖掘的网络安全审计系统的实现方案并建立了系统模型图。
Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.
决策表是一种特殊而重要的知识系统，在决策支持和数据挖掘等领域有着重要的应用。
Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.
决策表是一种特殊而重要的知识系统，在决策支持和数据挖掘等领域有着重要的应用。
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