With the development of science and technology, as well as the progress of the economics, there are a lot of data in different areas, which contain large amount of information. However, how to handle these data and derive useful information today is such a major challenge of Computer Science. Data mining technology is becoming an important topic in current research. In recent years, the mining of single data stream has been studied extensively and many valuable models and algorithms emerged. But, with the popularity of internet applications, the application of a single data stream towards the inevitable multi-node transfer of distributed data flow direction and has a wide range of applications. This topic describes the current international and distributed on a single data stream of data stream mining Research Classification Algorithm, In accordance with the method of learning algorithms, to compare and to summarized the various classification algorithm, at the same time classification and current problems faced by a summary of trends and prospects. In a single data stream environment, Incremental learning and integrated learning are two typical learning. In a distributed environment where data flow, centralized mining and mining are two typical distributed architecture, they have different advantage.
Keywords: Data Mining ,Single data stream, Distributed data streams, Weka