一种基于数据立方体的数据挖掘技术的研究

Research of Data Mining System Based on Data Cube

基于数据立方体的数据挖掘技术是一种对数据仓库中的数据进行深层次加工和处理的过程。本文分析了数据挖掘的基本概念,并结合数据仓库和数据挖掘的发展,探讨了一种基于数据立方体的数据挖掘系统。文中给出了系统的框架,介绍了数据仓库和数据立方体的创建方法;针对传统ID3决策树算法的缺点,将信息增益的计算方式与属性值的概率相结合,给出了一种优化的算法,并图形化的显示了挖掘结果。

Data mining based on data cube is a procedure of deep data processing. This paper analyzes the concepts of data mining,and then, together with the development of the data warehouse and data mining, provides a complete system structure and implementation project of data mining. It presents the enhancement to ID3 decision tree algorithm, which combined with information gain and property probability. And displays the mining results in figure.