Research of Cluster-Based Data Mining Techniques in E-Commerce

The data mining in electronic commerce is mainly Web data excavation; this article introduces the general process of Web excavation, studies the k-means cluster algorithm and analyzes some insufficiencies in k-means cluster algorithm. On basis of that, an improved algorithm of k-means cluster algorithm is proposed which can enhance the recommendation speed by compressing the size of recommendation pond, thus enhance the cluster efficiency.