对数据仓库和数据挖掘技术及其应用进行了讨论。
Technology and application of data warehouse and data mining are discussed.
SPMI的核心技术是可视化技术和数据挖掘技术。
数据仓库和数据挖掘技术是决策支持系统的关键因素。
Data warehouse and data mining techniques are key factors of decision supporting system.
我希望可以专注于生物信息学，数据库和数据挖掘技术。
I would like to focus on bio-informatics, database and data mining technology.
生物序列分析是机器学习和数据挖掘技术一个重要的应用领域。
Biological sequence analysis is an important application domain of data mining technology.
数据仓库和数据挖掘技术是目前信息技术研究的热点问题之一。
Data warehouse and data mining technology is one hot problems of information technology research at present.
本文主要研究了数据仓库和数据挖掘技术在供水企业中的应用。
This paper researches the application of data warehouse, OLAP and data mining techniques in water supply systems.
本文主要研究了数据仓库技术和数据挖掘技术在电力系统中的应用。
This paper researches the application of data warehouse and data mining techniques in power systems.
文中详细介绍了客户关系管理系统、数据仓库、联机分析处理和数据挖掘技术。
The CRM system, the Data warehouse, the OLAP (online analysis processing) and the technology of Data Mining are introduced in detail in the paper.
阐述了入侵检测和数据挖掘技术，并介绍了数据挖掘技术在入侵检测系统中的应用。
This paper expounds the invading detection and data mining technology, and introduces the application of the data mining technology in the invading detection system.
探讨了利用分布式对象技术和数据挖掘技术来解决网络安全系统自适应性的研究思路。
Discussing the research method that resolve the adaptation of security system using distributed object technique and data mining.
扼要阐述了入侵检测和数据挖掘技术，并建立了采用数据挖掘技术的入侵检测系统模型。
The intrusion detection and data mining technology are elaborated and the intrusion detection system model is established applying data mining technology.
伴随着网格和数据挖掘技术的不断提高，基于知识网格的数据挖掘技术将得到广泛的应用。
With the grid and data mining technology and continuous improvement, knowledge-based grid of data mining technology will be widely used.
本文首先介绍了数据仓库和数据挖掘技术，分析了两种技术在处理和分析历史数据方面的优越性。
This paper first introduces the data warehouse and the data mining technology, and analyzes the superiority of these two kinds of technologies in processing and analyzing history data.
本文通过对客户流失的业务需求和数据挖掘技术的介绍，提出了一种客户流失预测分析的解决方案。
This paper gives a schema of the forecasting analysis of customer missing by explaining the business requirement of customer missing and the technical of data mining.
联机分析挖掘技术融合了联机分析处理技术和数据挖掘技术，成为决策支持应用系统新的技术依托。
The idea of using on-line analytical processing (OLAP) to access and analyze on-line monitoring data is presented.
在线分析处理(OLAP)和数据挖掘技术的不断成熟，为数据仓库应用市场的开拓打下了良好的基础。
The technique of OLAP and DataMining became more and more mature, so that the application market of Data Warehouse was built a good foundation.
其次探讨了数据仓库、数据挖掘的概念与结构，以及数据挖掘策略和数据挖掘技术在财务决策中的应用。
Next, the text has probed into the concept and the structure of data warehouse and data mining, as well as the application data mining strategy and data mining technology in financial decision-making.
该领域包括对于数据仓库和数据挖掘技术的研究，CRM系统的构建，以及更加有效挖掘算法的设计等方面。
The related research aspect includes data warehouse and data mining technologies, construction of CRM systems and design of more effective data mining algorithms.
KDD和数据挖掘技术在农业中得到应用，由于农业领域本身的特点，通常的数据挖掘技术得不到有效应用。
KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can't apply efficiently.
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。
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.
而基于这些系统数据信息基础之上建立的数据仓库以及联机分析和数据挖掘技术的应用，能够很好的解决以上的问题。
The data warehouse, OLAP and data mining technologies, which are based on data from above information systems, are good ways to solve these problems.
数据仓库技术、OLAP 技术和数据挖掘技术对决策支持系统的有力支持使其成为数据库技术领域一个研究的热点和重点。
There have been growing interests in the techniques of date warehouse, OLAP and data mining since they strongly support the decision-making.
目前数据仓库和数据挖掘技术已经成为计算机界新的研究热点之一，引起数据库、机器学习、统计等领域的专家的广泛关注。
These two technologies are the new hot spots in the computer world, and attract the attention of the experts and scientists in the field of database, machine learning, and statistics.
并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
本文探讨了数据仓库和数据挖掘技术在软件职业教育的应用，其逻辑架构和物理架构的构建。并介绍了数据挖掘技术在其中的应用。
This paper declares the logic and physical frames in software vocational education based on data warehouse and data mining, and introduces several methods of data mining in this system.
本文通过对数据仓库理论和数据挖掘技术的研究，结合选课系统的特点，提出将数据仓库理论和数据挖掘技术运用到教学管理中，并结合一个实际项目，给出具体的设计及实施方案。
With the research of theory in data warehouse and the data mining studying, a new approach has been proposed in order to reflect the special requests of the course enrolment.
数据挖掘是目前信息领域和数据库技术的前沿研究课题。
Data mining is a frontier area in information and database technology.
地理信息系统和数据挖掘是当今信息技术中的两颗璀璨明珠。
Geographic information System and Data Mining and Knowledge Discovery technology are two bright pearl of information technology in now days.
地理信息系统和数据挖掘是当今信息技术中的两颗璀璨明珠。
Geographic information System and Data Mining and Knowledge Discovery technology are two bright pearl of information technology in now days.
应用推荐