聚类分析在Web日志中的应用

Application of Clustering Analysis in Web Logging

随着社会和经济的快速发展,科技不断进步。笔者就Web日志挖掘系统的各部分工作情况进行了相应分析。一般来说,Web挖掘最基本的研究领域包括Web内容挖掘、结构挖掘、使用挖掘。基于此,阐述了从数据挖掘、Web数据挖掘到Web日志挖掘的一系列过程,专门介绍了该系统的一些算法。在上述内容的基础上,对该系统进行具体设计,并通过.NET实现该系统的功能。

With the rapid development of society and economy,science and technology are progressing continuously.The author has carried on the corresponding analysis on each part of the Web log mining system.Generally speaking,the basic research fields of Web mining include Web content mining,structure mining and usage mining.Based on this,this paper expounds a series of processes from data mining,Web data mining to Web log mining,and introduces some algorithms of the system.On the basis of the above contents,the system is designed in detail,and the function of the system is realized through.NET.