%0 Journal Article
%T Overview of time series data mining<br>时间序列数据挖掘综述*
%A JIA Peng-tao
%A HE Hua-can
%A LIU Li
%A SUN Tao
%A <br>贾澎涛
%A 何华灿
%A 刘丽
%A 孙涛
%J 计算机应用研究
%D 2007
%I 
%X Based on analyzing many literatures about time series data mining, this paper showed the development, academic opinions and proposed about time series data mining recently. The contents contained data transformation, similarity match, prediction, classification, clustering, segmentation and visualization of time series. The aim was to compare and classify these literatures and put forward reference for scholars who research development, new techniques and trends of time series data mining.
%K time series
%K data mining
%K similarity search
%K pattern discovery<br>时间序列
%K 数据挖掘
%K 相似性搜索
%K 模式发现
%K 时间序列数据挖掘
%K data
%K mining
%K time
%K series
%K 新技术
%K 研究动态
%K 可视化
%K 聚类
%K 分类
%K 相似性搜索
%K 数据变换
%K 趋势
%K 发展
%K 预测
%K 比较
%K 学术观点
%K 文献
%K 相关
%K 综合分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6271D624F8866347B&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=708DD6B15D2464E8&sid=23CCDDCD68FFCC2F&eid=13553B2D12F347E8&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=6&reference_num=54