摘要
作为互联网中重要数据形式之一,半结构化数据是开展数据挖掘的重要前提性条件。而进行数据挖掘旨在发现并提取大型数据库中所隐含的有价值的信息。首先介绍了半结构化数据的概念及其特点,在此基础上分别从半结构化数据表示、数据模型两方面对半结构化数据模型进行介绍,最后总结半结构化数据模式与之前关系数据模式间的差别。
As an important form of Internet data, semi-structured data in data mining is an important fist conditions. And the data mining was designed to find and extract large database in the implied information of value. This paper first introduced the half structured data concept and characteristic, based on the data from each of the half structural said, the data model two half-and-half structured data model are introduced, finally summarizes semi-structured data model and the relationship between the data model before difference.
出处
《煤炭技术》
CAS
北大核心
2012年第12期177-179,共3页
Coal Technology
作者简介
孔令信（1981-），男，甘肃民勤人，助教，硕士，研究方向：数据结构与算法，数据仓库与数据挖掘。
