Along with the rapid development of technological fields , such as computer network , weather moni-toring and sensor network , data streams come to a major data resource which contains much richer knowledge .How to mining useful rules from data stream has become an important research issue .Some concepts of data stream and frequent pattern over data stream are introduced .Then mining algorithms of frequent itemsets over data stream are discussed .%随着计算机网络、气象监测和传感器网络等技术的不断发展,如何从数据流中挖掘出有用的信息成为了一个重要的研究内容。本文主要介绍了数据流和其中的频繁项集的概念,分析了数据流中的频繁项集挖掘算法。
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