Web网络信息挖掘系统的体系构建探究

On the construction of Web network information mining system

针对Web网络通讯过程中存储的海量数据,运用新颖的数据挖掘技术或方法,发掘出数据中隐含的规律知识.为此提出关于Web网络信息挖掘系统体系结构.阐述数据方块法、属性导向归纳法在数据预处理中的应用,深入探讨粗集属性约简算法、K-means聚类分析算法等在Web网络信息挖掘系统体系的应用,提出的系统体系结构可为挖掘系统的实际研发提供有效指导.

Due to the mass data storage occurred in the process of the web communication, a novel data mining technique was used to explore the hidden rules of knowledge. This paper further proposes a mining, system for the web network information; demonstrate the application of the data block method, attribute oriented induction method in data pretreatment, in-depth study of rough set attribute reduction algorithm, and the K-means clustering algorithm. The system structure is can provide effective guidance for the actual development of the mining system.