摘要
文本挖掘是指利用数据挖掘技术,从大量的、无结构的文本信息中发现潜在的、可能的数据模式、内在联系、规律、发展趋势等,抽取有效、新颖、有用、可理解的、散布在文本文件中的有价值知识,并且利用这些知识更好地组织信息的过程。本文详细阐述了文本挖掘的过程、文本挖掘的功能以及文本挖掘在企业知识管理方面的应用。
Text mining(TM) is a data processing technology through which potential and possible data relations or rules can be dug out from large number of unstructured text information. Firstly this paper gives an introduction of the basic theory of TM, which includes
出处
《中南民族大学学报（人文社会科学版）》
CSSCI
北大核心
2005年第4期127-130,共4页
Journal of South-Central Minzu University (Humanities and Social Sciences)
关键词
文本挖掘
数据挖掘
知识管理
-relate analysing and document classifying. Then general process and basic functions of TM are discussed. Finally TM applications in knowledge management are studied, which includes many domains such as knowledge sharing and creation, email management, document management, information collection, and market research and analyzing. Key words:text mining
data mining
knowledge management
