解释和评估模式是知识发现过程中的一个重要步骤。
It is an important step to interpret and evaluate the data mining results (patterns) in the process of knowledge discovery.
知识发现就是从大量的数据中抽取以前未知并具有潜在可用的模式，数据挖掘则是组成知识发现过程的重要环节。
Knowledge discovery is to abstract the previously unknown and potentially useful models from a large amount of data, and data mining is an important component in the procedure of knowledge discovery.
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.
针对知识发现在实际应用中的问题，提出了一种以领域知识为中心的知识发现过程模型，并将其形式化，描述了其动态语义。
Considering the problems in actual application, this paper proposed a kind of domain knowledge centered know-ledge discovery process model, then formalized it and described its dynamic semantics.
学习是相互的，终身的分析、提问、讨论的过程；学习是通过各种途径发现已有知识的新含义及新用法。
Learning is an interactive — and lifelong — process of analyzing, questioning, and discussing; learning is looking for new meanings and unique applications of knowledge in every situation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
发现了的知识可以被用于信息管理、查询优化、决策支持、过程控制等，还可以用于数据自身的维护。
Discovered knowledge can be used for information management, information optimization, decision support, process control, but also can be used for the maintenance of their own data.
而在进行这些研究的过程中我发现本科的经济学知识是远远不够的。
And in the course of these studies I found that economics undergraduate knowledge is not enough.
大学生应该在发现和创造知识中提升自己的地位，在传授知识的过程中扩大自身的影响，在服务社会的各项功能要求中实现自身的价值。
College students should raise their social status by discovering and creating knowledge, enlarge their influence by passing on knowledge, and realize their value in all kinds of social services.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
其中主动空间数据挖掘技术主要体现在数据融合，数据挖掘和知识发现的过程中。
Active Spatial data mining technology is used in the processes of alarm data fusion, data mining and knowledge discovery.
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.
分析了基于粗糙集理论的装配知识发现中属性归约的过程。
The process of attribute reduction is analyzed in assembly knowledge discovery based on rough set.
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.
知识发现是从数据集中识别出有效的、新颖的、潜在有用的，以及最终可理解的模式的非平凡过程。
Knowledge Discovery is the non-trivial process that distinguish effective, innovative and potentially useful, and ultimately understandable pattern from the amount of data.
本文发现了一种利用这些专有知识的方法，该方法不是对个体的基因型进行操作，而是直接作用于配电网的构造过程。
This paper found a way to use the knowledge by keeping constructing the net of distribution system instead of operating on the chromosome or other numerical data.
过程竞争的重要功能在于发现知识，争胜竞争的企业家是发现主体。
The significant function of process competition is knowledge discovery undertaken by rivalrous entrepreneurs.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
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.
MFDM知识发现平台在形式化模型的基础上，提供了可视化过程建模，模型管理等功能。
MFDM platform is based on formulized model, a nd aids in visual process modeling and model management.
本论文还简要讨论了在数据库中发现知识的数据可视化问题，并采用神经网络技术解决该问题，描述了建立一个神经网络数据挖掘的全过程。
Meanwhile, the paper discusses the problem of data visualization, and resolves it using neural network technique, describes the whole process of building a neural network data mining system.
随着知识管理在现代企业中的应用越来越广泛，我们发现将知识管理应用于提高高等学校核心竞争力的过程也很有必要。
With the application of knowledge management to modern enterprise becoming wider, it's awfully necessary to apply knowledge management to higher school in order to improve its corn competitiveness.
针对平台自动测试系统故障诊断的特点和设计要求，提出了一种将知识发现技术融入故障诊断系统中的新的框架，同时设计了知识发现操作的具体过程。
In view of the characters and designing requirements of platform test system fault diagnosis, a new framework of diagnosis system using knowledge discovery in database (KDD) technology is put forward.
并进一步优化思维过程，探索和发现规律，以达到沟通新旧知识，建构知识体系的目的。
What's more, it can optimize thinking process and make one explore and discover the law, so as to combine the new and old knowledge and construct the knowledge system.
既然如此，在这一“人的发现”与确立过程中，现代中国知识分子的现代身份的确立就显得尤为重要。
So in this course, it was very important for the intellectuals to establish their modern identity.
其特点是利用KDD过程发现的知识，与知识库中的原有知识自动进行知识检测与知识融合，自动完善知识库。
The model automatically checks and merges the newly discovered patterns of KDD process with the original fuzzy knowledge base, thus improves the quality of the knowledge base.
分类规则发现则是通过对训练样本数据集的学习构造分类规则的过程，是数据挖掘、知识发现的一个重要方面。
Classification rules discovery is a procedure to construct a classifier through studying the training dataset. It is a very important part of data Mining and Knowledge discovery.
数据挖掘是指从大量的数据中发现潜在的、有用的知识的过程。
Data mining is the process of discovering potential and useful knowledge in large amounts of data.
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.
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