它还演示了如何组合结构化数据库和文本挖掘。
And it also illustrates how it can be combined with structured databases and data mining.
本文研究了机器学习和文本挖掘的若干算法。
In this paper, some algorithms for machine learning and text mining have been researched.
文本挖掘是基于非相关文献知识发现的核心。
Text mining is the kernel of the disjoint literature-based knowledge discovery.
并讨论了该系统提供文本挖掘服务的方法和步骤。
Then, we discuss how the multi- agent web text mining system on the grid can be used to implement text mining services.
在此基础上讨论了文本特征提取及文本挖掘的方法。
The methods of text character extraction and the text mining are then discussed.
命名实体识别是生物医学文献文本挖掘重要的第一步。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
文本挖掘主要处理半结构化、无结构化和字符型数据。
Text mining mainly deals with incomplete data, unstructured data and character data.
本研究试图运用文本挖掘技术对形神理论的内涵进行挖掘。
The connotation of theory of body and sprit is copious and text mining can find potential valuable information from plenty of message.
文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。
Text mining is an effective means of detecting potentially useful knowledge from large text database.
文本分类是文本挖掘的基础，而特征选择又是文本分类中的核心。
Text categorization is the foundation of text mining, and feature selection is the core of text categorization.
数据和文本挖掘-建立描述和预测模型，和基于整个企业的战略部署。
Data and Text Mining - Build descriptive and predictive models and deploy results throughout the enterprise.
介绍和分析了常识本体和领域本体以及基于这些本体的文本挖掘方法。
This paper introduces common ontology and domain ontology, and analyzes text mining technology based on these ontologies.
在文本挖掘中，中国自动分词技术是计算机科学所要面对的一个难题。
In the text mining, the technology of Chinese automatic word segmentation is a difficult problem that the computer science has to face.
由于存储信息最多的自然形式就是文本，因此文本挖掘具有重要的意义。
Since the text is one of the most widely used methods in storing information, it has great meaning on text mining.
从这个出发点来看，它使用的是文本挖掘，试图分析网页并鉴定他们关键的语义概念。
For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.
传统的文本挖掘方法由于不能有效运用语义信息而难以达到更高的准确度。
However, conventional text mining technology cannot achieve high accuracy, because it cannot effectively make use of the semantic information of the text.
将文本挖掘技术运用到形神内涵研究，为中医理论研究提供了一条新的思路。
We tried to use text mining to find the connotation of theory of body and sprit, and provided a new way to study the theory of TCM.
当前，知识的文本挖掘(KAT)已经成为计算机领域的一个重要的研究课题。
Knowledge acquisition from text (KAT) is one of the most researched topics in the current computer domain.
第一种尝试的焦点是，如何基于确定单词频率，建立您自己的XQuery 文本挖掘技术。
The first attempts were focused on how to build your own XQuery text-mining techniques based on determining word frequencies.
随着文本数据的迅速增长，文本挖掘已经成为了数据挖掘领域的一个重要的研究方向。
With the rapidly development of the text data, text mining have been an important study direction in data mining area.
结合笔者研究工作，主要介绍了文本挖掘的研究内容，挖掘过程，挖掘算法及应用前景。
This paper mainly introduces the research contents on text mining, mining process, mining algorithm and application foreground combined with our research work.
因此，利用基于专利地图理论的文本挖掘技术正好适用于对某一技术领域的深层次分析。
Therefore, the use of text mining technology based on patent map theory can be rightly applied to the profound analysis of some technological area.
致力于公众健康信息学、医学文本挖掘、数据整合、互联网用户行为分析等技术的研发。
Her expertise includes consumer health informatics, medical text mining, data integration, and internet user behavior analysis.
文本挖掘技术是指，在上传到推特等社交网站上的留言中选取特定主题相关词语进行分析。
Text mining refers to the Principal in the social networking site uploaded to push the message on a specific topic related words selected for analysis.
就这种意义上来说，文本挖掘从内容收集信息的能力几乎是不可思议的，但是最好关注一下相关性评分。
In this sense, textual mining almost seems magical with respect to what can be gleaned from the content, but it's best to keep an eye on the relevance scoring.
研究方向：文本挖掘，文字的知识发现，协同技术，医学信息，用户信息的行为，信息综合。
Research Interests: Text Mining, Knowledge Discovery FROM Text, Collaborative Technologies, Medical Informatics, User Information Behaviors, Information Synthesis.
对中文文本挖掘中的词汇处理技术进行了较深入的探讨，提出了针对汉语语言特点的无词典分词算法。
The dealing technology of words in Chinese text mining is discussed, and an arithmetic of "no Dictionary Cutting word" is brought forward.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
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