The open integration of knowledge depends on knowledge conversion, knowledge extraction and knowledge stanchion.
知识的开放性集成依赖于知识转换、知识抽取和知识标注。
This approach is rapidly being replaced by quantitative analyses that more reliably support knowledge extraction.
这种方法正迅速被取代的定量分析，更有效地支持知识的提取。
Absrtact: as an excellent formal concept analysis tool, concept lattice has been applied in data mining, AI, and knowledge extraction.
摘要：概念格作为一种很好的形式化概念分析工具，被应用于数据挖掘、人工智能和知识提取等领域。
It is thought that the people of our hero have passed on their knowledge of extraction of a chemical known as quinine from quina-quina to missionaries.
认为我们英雄的人们已经将他们从奎那-奎那中提取一种称为奎宁的化学物质的知识传递给了传教士。
In the tracking and thinning of seismogram the prior knowledge of seismogram is used effectively for improving the intelligent level of automatic extraction of seismogram.
在地震波的跟踪与细化过程中，充分利用了地震波的先验知识，以提高地震波自动提取的智能化水平。
Data mining and Knowledge discovery is the technology that can extraction of implicit, previously unknown, and potential useful information from data.
数据挖掘与知识发现技术可以从大量的数据中抽取出隐含的、以往未知而又非常有意义和有用的信息。
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具有潜在应用价值的知识或模式。
Put forward the calculation that pixel direction distance length as foundation, the stroke extraction way according to the structure knowledge of Chinese characters completely.
提出以计算象素点的方向游程长度为基础，完全基于汉字的结构知识的笔划提取算法。
The data mining method based on the Concept Lattice is constituted by the two key steps: construction of concept lattices and extraction of designed grid knowledge.
基于概念格的数据挖掘方法由两个关键步骤构成：概念格的构建和基于构建好的概念格的知识提取。
Data mining is extraction of interesting knowledge from data in large databases or data set.
数据挖掘是指从大型数据库或数据集的数据中提取人们感兴趣的知识。
The extraction of modern Chinese collocation studied in this thesis includes not only the knowledge of linguistics but also computer science and other knowledge.
本文所研究的现代汉语词语搭配的自动抽取既涉及语言学知识，也涉及计算机科学等其他学科知识。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
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。
Considering such a situation, based on the related theory about the tacit knowledge, this paper starts to make empirical research about the extraction of the tacit knowledge.
本文即是基于这一现状，以内隐知识的相关理论为基础，展开对内隐知识的提取的实证研究。
That requires a leaner to flexible master the identification and extraction method of chemical compositions of CTMC knowledge is the teaching difficult in the course.
中药化学课程教学难点是要求学生根据中药化学知识，灵活应用于中药提取分离、结构鉴定等。
Conclusion it is demonstrated that application of inter-slice prior knowledge could be beneficial for the automatic brain extraction and the algorithm is accurate and generic.
结论利用层间先验知识有利于实现边缘模糊的脑组织自动准确提取，且适用性较强。
According to the knowledge auto-extraction method developed in this study, the bottleneck of knowledge acquirement in Bayesian expert system classifier could be well solved.
研究表明依据专家知识自动提取方法能够有效解决现有贝叶斯专家系统分类器中存在的瓶颈问题。
The knowledge databank includes the functions of searching, acumination, extraction, and, sharing.
知识库包含知识库全文检索、知识累积、萃取与分享等功能。
But there are knowledge gap between the images and information, thus the main question of information extraction of remote sensing is built corresponding relationship of images and ground objects.
但是由于遥感影像与遥感信息之间存在明显的知识间隙，因而建立遥感影像与地物的综合对应关系是填补遥感信息提取的主要研究内容。
To solve the problem, we should consider the level of knowledge units and their correct representation and extraction.
为此就要解决知识元表示与抽取正确与否的问题。
Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text.
关系抽取是文本挖掘的一项重要研究内容，它能够反映命名实体之间的关系，有助于发现隐含在大量数据和文本中的知识。
As the common knowledge of a special domain, ontology could deal with the challenging task in information extraction — the bottleneck of knowledge engineering.
本体作为对领域知识的共同理解，能有效地解决现在信息抽取所面对的主要挑战——知识工程的瓶颈问题。
To realize rapid and efficient extraction and usage among knowledge makes good application prospects and value.
对这些知识实现高效快速地抽取并加以利用，具有良好的应用前景和应用价值。
In general terms, data Science is the extraction of knowledge from data, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining.
(一般来讲，数据科学就是从数据中提取信息知识，即是数据挖掘与预测分析的延伸，亦是发掘知识与数据的过程。)所以，通俗来讲，数据科学，就是通过分析数据，来挖掘获得这些数据中的潜在信息。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To solve the problem, we should consider the level of knowledge units and their correct representation and extraction. 4 figs. 2 tabs. 4 refs.
解决的根本方法是将信息组织深入到知识元层次。为此就要解决知识元表示与抽取正确与否的问题。图4。表2。参考文献4。
Presently traditional method of car plate Chinese character feature extraction is based on prior knowledge which is important for the result.
传统的车牌汉字的特征提取方法是在具有先验知识的情况下进行的，先验知识的好坏对结果有着非常重要的影响。
In this paper, the theoretical knowledge and practical methods on medical image segmentation and feature extraction are studied and analyzed.
本文研究并分析了医学图像分割和医学图像特征提取的相关理论与方法。
In this paper, the theoretical knowledge and practical methods on medical image segmentation and feature extraction are studied and analyzed.
本文研究并分析了医学图像分割和医学图像特征提取的相关理论与方法。
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