分析了数据挖掘原语、查询语言和系统结构。
Analyzing the data mining primitives, query languages, and system architectures.
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.
在此基础上，分析了将数据挖掘技术运用于电力系统的可能性与必要性。
On this basis the necessity and feasibility of applying the data mining to power system are analyzed.
SAS系统以其完善的数据管理功能、强大的数据分析能力和数据挖掘能力完全能够满足该模型的需要。
SAS system can totally meet the demands of this model with its perfect data management functions, strong data analysis ability and data mining ability.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
然后提出了工业智能监测与管理系统结构设计，分析了数据挖掘在系统中的位置和不同阶段的各种作用。
Then raised the design of industry intelligent monitoring and managing system structure, also analyzed the position of data mining engine in the system and the roles in different phases.
本文以数据仓库为基础，与目前流行的联机分析处理、数据挖掘等技术相结合，提出了基于此的决策支持系统的设计。
Take data warehouse as foundation, with the aid of on Line Analytical Processing and data Mining technology, the composition and design of enterprise Decision Support System are put forward.
简要介绍了反洗钱基本程序，主要就数据挖掘技术及其在反洗钱系统中的应用进行分析。
This paper briefly introduces the basic anti-money laundering procedures, mainly analyzes data mining technology and its application in anti-money laundering system.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
最后通过对赤潮预测的数据挖掘应用分析，验证了系统应用的科学合理性。
At last, the data mining application of the red tide forecast is analyzed, and it proves that the system application is scientific and reas.
移动客户流失分析系统在数据挖掘的基础上，实现了客户流失模型的管理应用。
The analysis system of subscriber churn in wireless carriers was constructed based on data mining.
从数据的观点出发，讨论了数据驱动的决策支持系统的概念及其内涵，对数据仓库、联机分析处理和数据挖掘等手段也进行了一定程度的讨论。
From the point of view of data, this article discusses the concept of data driven decision support system, its connotation, as well as data warehouse, on line Analytical Processing and data mining.
本文在分析目前己有入侵检测技术研究的基础上，着重对数据挖掘在入侵检测系统中的应用进行了研究。
The thesis analyzed of the research on intrusion detection at present, and then had a deep research in the data mining technology's application in intrusion detection.
本文在基于数据挖掘的网络入侵检测系统框架基础上设计了一个无导师学习的分析器模型。
Based on the framework of network intrusion detection systems based on data mining, this paper devises an analyzer model of unsupervised learning.
本文主要介绍了“超市管理系统”的需求分析与具体设计，以及基于“超市管理系统”上的数据挖掘。
This paper mainly introduce a analysis of requirement and essential design of a supermarket Management System and data mining based on it.
在SAS系统的支持下，如果把多元分析方法与其它数据挖掘技术结合加以灵活运用，应该会有更好的效果。
With the support of the SAS system, it can help achieve better results if the methods of multi-variable analysis and other DM technologies are put to use.
基于数据挖掘技术的客户关系管理系统由数据存储和综合、多维数据分析、数据挖掘、模型库、方法库组成。
The Customer relationship management system based on data mining technique consists of data storage and colligation, multidimensional date analysis, data mining, model storage, method storage.
方法利用数据挖掘技术将医院信息系统(H IS)中的数据集成到医院感染性疾病症状监测体系内，并对数据进行分析整理。
Methods the data from the hospital information system (HIS) were integrated into the infectious disease symptom monitoring system through the data mining technology, collated and analyzed.
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.
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。
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.
利用当前比较先进的自然语言分析技术、全文检索技术、数据挖掘技术等，设计了比较全面的网络课程的智能答疑系统。
Using the present advanced technologies such as nature language, full-text searching and data mining, this paper designed a full-round intelligent question-answer system of network course.
本文对数据挖掘技术，尤其是文本挖掘和聚类分析进行了较为系统地分析和研究，提出了一些改进算法。
This paper systematically studies and analyses the data mining technique, document mining and clustering analysis, and propose some improved algorithms.
本文在分析数字图书馆决策特点的基础上，提出了一个多专家系统集成式的基于数据挖掘和智能代理技术的智能决策支持系统框架。
The article discusses the Intelligent Decision Supporting system in Digital library which has multiple expert systems and is based on the Data mining and Agent technique.
对常用于入侵检测系统中的数据挖掘技术如关联规则，序列分析，分类分析等进行了分析。
It also discusses some techniques of data mining such as mining association rules, mining sequential patterns and data classification.
本文以华侨大学为例，主要研究构建教学质量监控系统数据仓库所涉及的联机分析与数据挖掘技术。
At present, the keystone in education domain is how to develop the data warehouse of teaching quality monitor system(TQMS), and mine some data cubes about teaching subject for rules.
在论述数据流管理系统模型的基础上，深入分析了国内外的各种频繁模式挖掘算法，并指出这些算法的特点及其局限性。
Based on comment of DSMS model, various frequent pattern mining algorithms are analyzed thoroughly and their characteristics and limitation are pointed out in this paper.
在商务智能系统中，联机分析处理和数据挖掘是针对商业数据的分析工具。
OLAP and DM are analytical tools aiming at business data in the business intelligence system.
前台应用系统实现和应用了多种数据分析方法，包括：静态报表、动态查询、多维在线分析及数据挖掘等。
The front application systems use some data analytic methods, for example static report, dynamic query, OLAP (Online analytic Processing) and data mining techniques.
本文将数据挖掘技术应用到商业银行的客户关系管理系统中，为商业银行的客户分类和交叉销售提供了数据分析上的支持。
We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell.
在该系统中，运用数据挖掘技术实现了对现有数据的分析、处理，以及对未来情况的预测，为决策支持提供辅助。
In this system the technology of data Mining is used for analyzing. Processing and predicting the existing data, providing assistance for decision-making.
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