文本数据的数据挖掘算法

Data Mining Algorithm for Text Data

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 .对文本数据进行分析 ,将非结构化数据准结构化 ,存放入树形分层数据库中 ,利用已有的数据库技术以及树形分层数据库特有的一些操作 ,实现在知识发现过程中对数据的抽取与控制 。

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). The method analyzed the text data, made it quasi structured and stored in TSMLDB. Based on the existent database technology and specific operations on TSMLDB, this paper implemented the data extraction and control in the process of knowledge discovery, and presented the detailed model and process.