Web Log Mining Based on a Mixed Genetic Clustering Algorithm
Miao Ye · Journal of Ningbo University · 2005
A mixed genetic clustering algorithm of web clients is presented based on the analysis of web log mining. It’s composed of standard genetic algorithm and K-Medoid clustering algorithm. The method is proved to be a dynamic clustering algorithm with global optimization and is superior to standard genetic algorithm. Web log mining used in this algorithm can filter out the noise and get good result of the clusters in users and pages. It also provides the effective decision-making for the web master to design individualistic web sites.