This system adopts data mining technique to obtain useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
本系统采用数据挖掘技术从已有的产品数据库、知识库和规则库中获取有用信息和知识以支持产品概念设计。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
Data mining is a frontier area in information and database technology.
数据挖掘是目前信息领域和数据库技术的前沿研究课题。
This system adopts data mining technique and obtains useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
采用数据挖掘技术从已有的产品的数据库、知识库、规则库中获取有用的信息和知识来有效地支持机械产品概念设计。
Data Mining is one of the international advanced directions in the field of database and information decision.
数据挖掘是目前国际上数据库和信息决策领域的最前沿研究方向之一。
Data mining is the hot topic of database and information decision.
数据挖掘是当前数据库和信息决策领域的研究热点。
Data mining is a theory forward in the field of database and decision-making information, It is core of the knowledge discovery.
数据挖掘是数据库和信息决策领域的一个理论前沿，是知识发现的核心部分。
The data extracted from the mass of knowledge and information are the major problems in data mining, processing database of scale unceasingly expands, the main methods to information messy.
从海量的数据中提取知识和信息是数据挖掘解决的主要问题、对处理数据库的规模不断扩大，而导致信息杂乱的主要方法。
In addition, the data is dynamic in a good many existing areas, such as data mining, large database and Internet information processing, etc.
另外，在现有的诸多领域，如数据挖掘、大型数据库和互联网信息处理等，其数据都是动态的。
So in facing of challenge of "Much data, but little information", there come Data Mining (DM) and Knowledge Discovery in Database (KDD).
因此，面对“数据丰富，但信息贫乏”的挑战，数据挖掘和知识发现技术应运而生。
Data mining is the process that extracts hidden, unknown and the potential value of information and knowledge form large amounts of data of the database.
数据挖掘是从数据库的大量数据中提取隐含的、未知的并有潜在价值的信息和知识的过程。
After fully introduction of the needed theoretical and technical basis for the core content, we establish the database for the data mining against the characteristics of hospital information.
文章首先全面地阐述了实现核心内容所需要的理论和技术基础。针对医院的病例信息的特点，建立了用于数据挖掘的数据仓库。
The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed.
分析了数据库中“贫”信息数据的特点，以及“贫”信息数据挖掘问题的要求。
The technology of Data mining means to find connotative, novel and useful information out of database, and it is widely used in many realms.
数据挖掘是指从数据库中发现隐含的、新颖的、有用的信息的过程，已经在许多领域得到了广泛的应用。
The technology of Data mining means to find connotative, novel and useful information out of database, and it is widely used in many realms.
数据挖掘是指从数据库中发现隐含的、新颖的、有用的信息的过程，已经在许多领域得到了广泛的应用。
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