Advances in Study of Distributed Mining of Data Streams
分布式数据流挖掘的研究进展

With advances in communications technology and hardware equipment technologies,particularly the wide use of small wireless sensor devices,data collection and generation technologies have become more convenient and automated, organizations and researchers arc faced with the ever growing problem of how to manage and analyze large dynamic datasets. Environments that produce streaming sources of data are becoming common place,such as sensor network,financial data management, network monitoring, Web log analysis and the communication data online analysis. In many application instances,these environments arc also equipped with multiple distributed computing nodes that arc often loGated near the data sources. Analyzing and monitoring data in such environments requires data mining technology that is cognizant of the mining task, the distributed nature of the data, and the data influx rate. We reviewed the current situation of the field and identified potential directions of future research.