%0 Journal Article
%T Advances in Study of Distributed Mining of Data Streams<br>分布式数据流挖掘的研究进展
%A 曲武
%A 隋海峰
%A 杨炳儒
%A 谢永红
%J 计算机科学
%D 2012
%I 
%X 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.
%K Distributed mining of data streams
%K Data streams mining
%K Data stream<br>分布式数据流挖掘，数据流挖掘，数据流
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=19A0C59815F2A7E49366E83B9E8454C4&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=5D311CA918CA9A03&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=68