A Grid and Density-based Clustering Algorithm for Processing Data Stream
一种基于网格和密度的数据流聚类算法

In the field of data stream analysis,conventional methods seem not quite useful.Because neither they can adapt to the dynamic environment of data stream,nor the mining models and results can meet users' needs.A grid and density based clustering method is proposed to effectively address the problem.With this method,the mining procedure is divided into online and offline two parts and grid and density based clustering method is used to get final clusters for data stream.