数据采掘，也称数据库中的知识发现。
Data mining, also known as knowledge discovery in databases.
数据挖掘就是从海量数据中提取知识，又被称为数据库中的知识发现。
Data Mining, also known as knowledge Discovery in Database, distills knowledge from a mass of data.
数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程。
Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set.
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具有潜在应用价值的知识或模式。
Data mining, referred to as knowledge discovery in databases, is the extraction of patterns representing valuable knowledge implicitly stored in large databases or data warehouses.
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, 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.
数据挖掘可以称为数据库中的知识发现，它是从大量数据中发现并提取隐藏在其中的可信的、新颖的、有效的并能被人理解的模式的高级处理过程。
The data mining is also called the knowledge discovery in database, which discovers from large quantity of data and find authentic, novel and effective model that can be comprehended by people.
从数据库中获取最新的知识库。
每当用户心里想着知识库中没有的项玩这个游戏时，应用程序会在数据库中添加该项以及适当的问题和答案。
Each time a user plays and thinks of an item not in the knowledge base, the application adds that item and the appropriate question and answers to the database.
在数据库中定义约束使DB 2可以知道表之间的关系，并且在某些情况下允许DB 2根据这样的知识选择更好的访问计划。
Having the constraints defined in the database allows DB2 to know relationships between tables and in some cases allows it to select better access plans based on that knowledge.
它还提到了一些Hibernate调优所必需的数据库知识。 一些范例中包含了你可能遇到的问题的实际解决方案。
Some examples also contain practical solutions to problems you may encounter.
项目结果能够被用来反馈，从而提高处理过程，并且这些结果能够被合成到项目历史记录的数据库和知识库中。
Project results can be used for feedback to improve processes, and can be incorporated into databases and repositories of project histories.
首先，如果仍然显示警告框，您会看到现在是由数据库在控制知识库中的数据。
First, if alerts still show the data to you, you'll see that it's now the database controlling the data in the knowledge base.
前面介绍的row类型和UDF相关知识表明，可以创建一个可用于您的数据库中的任意表的审计函数。
With what we just learned about ROW types and UDFs, we can see that it is possible to create an auditing function that can be used for any tables in your database.
用户身份格式有一些标准的模型，它们按层次存在于一个有组织的数据库中，这个数据库位于结构化身份知识库中，如LDAP，它可以帮助组织合理化用户提取。
There are standard data models for user identity formats and layering an organizational database on a structured identity repository like LDAP, can help organizations streamline their provisioning.
关于在DB 2数据库中存储身份验证信息的背景知识。
Background on storing authentication information in a DB2 database.
通过对多维数据库的分析，提出多维技术可以应用到面向学科的知识仓库中。
Analyzing multidimensional database, the paper puts forward multidimensional technology which may be used in discipline-oriented knowledge warehouse.
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。
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.
许多早期KM系统的设计，要求人们向数据库中输入材料或者创建个人档案，来帮助大家发现专门的知识和技术，从而实现组织中信息的获取。
Many early KM systems were designed to capture corporate information by requiring people to enter stuff into databases or to create personal profiles to help people find expertise.
数据挖掘是近年来企业用以分析大型数据集的核心技术，是知识发现过程中的关键步骤，是数据库技术的进一步扩展。
Data Mining is recently core technologies for an enterprise to analyze large data-sets, and it is a key step in knowledge discovery process and a database technical further expanding.
论文提出了在大型数据库中，为飞行器故障诊断的KDD故障诊断树和知识演变模式。
In this paper, the authors proposes a failure diagnostic tree and knowledge evolutionary patterns for the vehicle's failure diagnosis using KDD in large scale databases.
本系统是一个集成在多模式CAPP系统中的基于网络和数据库技术的工艺知识获取与管理系统。
The system is a system of the process knowledge acquisition and manage that is integrated in Multi-Form CAPP system and base on the technique of network and database.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
然而，众所周知，数据库中往往存在冗余数据、缺失数据、不确定数据和不一致数据等诸多情况，这些数据成了发现知识的一大障碍。
However, as well known, there are many issues in databases, such as redundant data, missing data, uncertain data, inconsistent data, and so on, they are the barriers to knowledge discovery.
本文简要介绍了网上蛋白数据库知识以及它在生物质谱分析中的一些应用。
In this paper the protein database and its application to mass spectrometry are discussed.
跟着分析了船舶航行性能设计知识的特点，讨论了知识在专家系统和数据库中的表达方法和存储方式；
Next, the character of the knowledge in ship navigation performance design is analysed, the knowledge expression method and saving way in expert system and database are discussed too.
本文首先论述了知识发现的过程、对象及方法，然后介绍了研究中实际使用的麻醉病例数据库、神经网络模型和对结果的检验评价方法。
Firstly, the paper discusses the process, object and method of knowledge discovery, then introduces the anesthetization case database, the ANN model and the evaluation about the result.
这是一个开放系统，通过对知识库、数据库的不断修改和补充，可使系统继续扩充和完善以用于更广泛的工程构件设计中。
It is an open system which may be broadened and perfected to cover a wider range of engineering applications through the modification and enlargement of the knowledge and data bases.
结果：挖掘结构化报告归档数据库中诊断报告的数据资料，形成带有12个节点的疾病知识库决策树，在知识库中存储。
RESULTS: To mine date in archiving database of SR and form the decision tree in disease knowledge base with 12 nodal points, which stored in knowledge base.
数据库知识发现的过程就是将数据库中蕴含的知识形式化为有用概念的过程。
Knowledge discovery process in database is to formalize the knowledge contained in the database into a useful concept.
数据库中知识发现是从数据中识别出有效的、新颖的、潜在有用的乃至最终可理解的模式的非平凡过程。
Knowledge discovery in database can be define as identifying the effective, original, potential and something that ultimately can be understood as the mode of out of common process.
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