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- The dissertation researches the Web text mining in detail according to the process of Web text mining, constructs a Web text mining model based on extensible Markup Language (XML) and Support vector machine (SVM). 论文依照Web文本挖掘的过程对Web文本挖掘进行了详细的研究,构建了一个基于可扩展标记语言(XML)和支持向量机(SVM)的Web文本挖掘模型。
- The research and implementation on a Chinese automatic word - segment algorithm in Web text mining Web文本挖掘中的一种中文分词算法研究及其实现
- Web text mining Web文本挖掘
- Web Text Mining technology Web文本挖掘
- This paper introduces the web mining and analyzes the text mining based on web. 该文主要介绍了Web挖掘基本情况,并在此基础上对基于Web的文本挖掘进行了分析研究;
- Then a Chinese text mining system is designed. 在前面所有工作的基础上，本文又整体设计了一个中文文本挖掘系统。
- The goal of the paper is to use data mining (text mining and web mining) technique to improve the performance of retrieval and clssification system. 文本的研究目的,一方面是利用数据采掘技术提高检索与分类的准确性。
- The KNN is a simple,valid and non-parameter method applied to WEB text categorization. KNN算法是一种简单、有效、非参数的Web文本分类方法。
- In text mining or Full-Text Search, the process of separating strings at word boundaries. 在文本挖掘或全文搜索中,在词边界处分隔字符串的过程。
- This paper construct a Dublin Core metadata for web text data. This kind of metadata can convert web text data which is unstructured data into structurual data. 本为为web数据中的文本数据建立了一种Dublin Core文本元数据表，将web文本这种非结构化数据结构化。
- In what follows, a very simple text mining application is described in some detail. 接下来,详细描述一个非常简单的文本挖掘应用程序。
- Web mining is to make use of the techniques of data mining to extract interesting,potential,useful pattern and hidden information from Web texts and Web activities. Web挖掘就是利用数据挖掘技术,从Web文档和Web活动中提取感兴趣的、潜在的有用模式和隐藏的信息。
- U. Y. Nahm, "Text Mining with Information Extraction, " PhD thesis, Department of Computer Sciences, University of Texas, Austin, TX, Aug. 2004. 章秉纯，以机器学习与文字探勘技术解整合文件分类问题，国立台湾大学资讯工程学系硕士学位论文，2002。
- An optimized ant colony clustering algorithm based on the rough set and colony intelligence is provided to use in text mining. 介绍了在粗糙集理论和群体智能理论的基础上提出的一种优化的用于文本挖掘的蚁群聚类算法。
- The connotation of theory of body and sprit is copious and text mining can find potential valuable information from plenty of message. 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 framework are hierarchical, open, and scalable.It provide a unified and public frame for Chinese Text Mining System. 该模型具有层次性、开放性和可扩展性，为中文文本挖掘系统提供了基本体系框架。
- The Integration Services transformations for text mining and the fuzzy matching may not work as well with non-English languages as they do with English. 与使用英语相比,用于文本挖掘和模糊匹配的Integration Services转换可能无法很好地与非英语语言一起使用。
- Your package may be attempting to use advanced components for Analysis Services, data mining, or text mining that are available only in SQL Server 2005 Enterprise Edition. 包可能在尝试使用只有SQL Server 2005 Enterprise Edition才可以提供的Analysis Services高级组件、数据挖掘或文本挖掘。
- Research on the key techniques of text mining is done in the paper, including text feature extract and feature select, text association analysis, text association classification. 本文以文本数据为研究对象,对文本挖掘的若干关键技术进行研究,主要包括文本特征提取和特征选择、文本关联分析、文本关联分类,并提出更有效的文本挖掘算法。
- R.J.Mooney, and U.Y.Nahm, "Text mining with information extraction", Proceedings of the 4th International MIDP Colloquium, Van Schaik Pub., South Africa, 2005, pp.141-160. 刘芳远，使用支持向量机于本国专利自动分类之研究，辅仁大学资讯管理学系硕士学位论文，2006。
