数据挖掘技术浅析

本文主要概述了数据挖掘理论知识。首先从数据挖掘与知识发现的交叉关系角度讨论了数据挖掘的概念;然后,在对数据挖掘功能作了简单介绍的基础上,分析了基于统计学、基于机器学习、基于数据仓库和基于神经网络的四类数据挖掘方法的基本原理、特点。最后,给出了比较和评价挖掘方法的参考标准。

This paper provides an overview of the theoretical knowledge of data mining.First,from data mining and knowledge discovery of cross-relations discussed in terms of the concept of data mining;And,in the data mining functionality made simple introduction on the basis of the analysis based on the statistics,based on machine learning,based on data warehouse and based on neural network The four types of data mining methods of the basic principles and characteristics.Finally,give a comparison and evaluation of mining method reference standard.