Research on Users Patterns Discovery Based on Web Usage Mining
For improving the accuracy of clustering algorithm,presents an ameliorated solution on traditional BIRCH algorithm by picking out samples of datasets,doing K-means clustering and selecting the center,setting a threshold value to every cluster of the whole datasets.Experimental results show that,under the same conditions,the improved algorithm has higher accuracy and less time consuming.