%0 Journal Article
%T Discovery of asynchronous periodic patterns with multiple granularities<br>挖掘多粒度时间下异步周期的模式
%A XIA Zhuo-qun
%A CHENG Yu
%A LIANG Di-qing
%A <br>夏卓群
%A 程昱
%A 梁涤青
%J 计算机应用
%D 2006
%I 
%X An algorithm for efficient mining of asynchronous periodic patterns with multiple granularities by exploring some interesting properties related to asynchronous periodicity was proposed. The algorithm generated all valid time section at first, and then found the longest valid time segment by using valid time section. The performance study shows that the proposed method is stable and efficient.
%K data mining
%K asynchronous periodicity
%K muhiple granularities
%K time series<br>数据挖掘
%K 异步周期
%K 多粒度
%K 时间序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=34B37BC275B48A07&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=B129485A55867D93&eid=C1DEEC9CD99A7203&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7