%0 Journal Article
%T Time Series Frequent Pattern Mining Algorithm and its Application to WSAN Behavior Prediction<br>一种时间序列频繁模式挖掘算法及其在WSAN行为预测中的应用
%A Wan Li
%A Liao Jian-xin
%A Zhu Xiao-min
%A <br>万 里
%A 廖建新
%A 朱晓民
%J 电子与信息学报
%D 2010
%I 
%X A frequent pattern mining algorithm FPM (Frequent Pattern Mining) is proposed. FPM not only considered the frequency but also the distribution of the frequent pattern along the time series. Based on these different types of frequent patterns, MAMC (Mixed memory Aggregation Markov Chan) is extended to FMAMC (Frequent pattern based Mixed memory Aggregation Markov Chan) model. The proposed algorithm and model are applied to a smart building project, experiment and practice both demonstrate FPM is efficient than existing algorithms and FMAMC model could more accurately predict the node behavior in WSAN than MAMC.
%K Data mining
%K Time series
%K Frequent Pattern Mining (FPM)
%K WSAN behavior prediction
%K Smart building<br>数据挖掘
%K 时间序列
%K 频繁模式挖掘
%K 无线传感器自组织网络节点行为预测
%K 智能楼宇
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7BF12DA3B56E04C71CB04EA772B65D6F&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=38B194292C032A66&sid=6D25DD85174CF6DB&eid=710C005323C0774A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10