This paper presented two ways of knowledge discovery in database (KDD) for text data, then utilized one way which is based on current data mining for structured data to present a method of KDD for unstructure data——tree structured and multiple layered database (TSMLDB).
针对目前大量存在的文本数据 ,以已有的结构化数据挖掘技术为基础 ,提出了非结构化数据的知识发现方法——树形分层数据库方法 。
