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运用空间重构进行时态序列模式演化挖掘
引用本文:王炳雪.运用空间重构进行时态序列模式演化挖掘[J].计算机工程与应用,2010,46(11):142-144.
作者姓名:王炳雪
作者单位:上海财经大学信息管理与工程学院,上海,200433
基金项目:上海财经大学211工程三期资助
摘    要:为了研究时态序列模式演化特征,在给出模式演化片段、模式演化片段集合和频繁模式演化片段定义之后,基于Takens定理,论证了重构空间内模式演化与原空间模式演化之间的等价性关系;给出了重构后的频繁模式演化范型挖掘方法和频繁模式演化范型生成规则的方法;针对周期、混沌和利率三种不同类型的序列数据进行方法的有效性研究。

关 键 词:时态序列挖掘  模式演化  空间重构
收稿时间:2009-3-12
修稿时间:2009-6-1  

Mining pattern evolution on temporal sequences with space reconstructing
WANG Bing-xueSchool of Information Management & Engineering,Shanghai University of Finance , Economics,Shanghai ,China.Mining pattern evolution on temporal sequences with space reconstructing[J].Computer Engineering and Applications,2010,46(11):142-144.
Authors:WANG Bing-xueSchool of Information Management & Engineering  Shanghai University of Finance  Economics  Shanghai  China
Affiliation:WANG Bing-xueSchool of Information Management & Engineering,Shanghai University of Finance , Economics,Shanghai 200433,China
Abstract:For discovering the features of pattern evolution on temporal sequences,based on Takens'theorem and the definitions of pattern evolution segments,pattern evolution segment sets and frequent pattern evolution,the equivalent relation between the reconstructed pattern evolution and its originality is demonstrated.Methods for finding typical frequent reconstructed pattern evolution and extracting rules from the pattern evolution are proposed.Comparative experiments on periodic data,chaos data and financial data...
Keywords:temporal sequence mining  pattern evolution  time-delay embedding
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