基于高效多功能的聚类算法在Web挖掘中应用的研究

Based on the Algorithm of Highly Efficient and Multi-functional Clustering in the Application of Web Mining

挖掘Web日志中有价值的信息,对于市场决策有着非同一般的意义;其中用户聚类能将潜在的用户划分出来,为商家提供有更有参考价值的信息。用户聚类算法,不仅克服了所需运算空间大、数据预处理复杂的弱点,而且能简洁准确的确定用户的类型,将其进一步改造还可以用于页面聚类中。对该算法给予理论阐述并加以具体的应用。

The valuable result of mining Web log is very important to the market decision. The Algorithm of user can mine potential users then provide more useful information for businesses. The algorithm of clustering users, not only overcome the weaknesses about computing space and complexion of preprocessing data, but it is also concisely and accurately definite the user types, if you transform the algorithm, it also can be used in the cluster of URL. More specific application in the Web mining is not only expounded the theory of the algorithm but also given.