%0 Journal Article
%T Online segmenting time series stream:deterministic finite automata method<br>在线分段时间序列流:一种有限自动机方法*
%A CHEN Sheng-li
%A LI Jun-kui
%A LIU Xiao-dong
%A <br>陈胜利
%A 李俊奎
%A 刘小冬
%J 计算机应用研究
%D 2010
%I 
%X Aiming at the disadvantage of existing segmenting methods for time series mainly focus on the static data, this paper proposed a method for segmenting time series stream, namely, a deterministic finite automata,according to time-series stream data changes, analyzing the data flow state. By analyzing the state of the time-series data stream, the changes in it could be found and thus complete the time series segmentation, taking change point as the segment ends. Extensive empirical experiments, both on synthe...
%K data mining
%K time series
%K stream segmenting
%K finite state automata<br>数据挖掘
%K 时间序列
%K 流分段
%K 有限自动机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8F37DAB61ADA8CF5968F793BD6C4E754&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=B62D621C3785DBB4&eid=FF9809C79A59DC74&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11