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基于Sequitur的时间序列异步周期模式挖掘
引用本文:陈遥,朱跃龙,冯钧,李士进.基于Sequitur的时间序列异步周期模式挖掘[J].计算机工程,2012,38(18):45-49.
作者姓名:陈遥  朱跃龙  冯钧  李士进
作者单位:1. 河海大学计算机与信息学院,南京210098;南京信息工程大学计算机与软件学院,南京210044
2. 河海大学计算机与信息学院,南京,210098
基金项目:国家自然科学基金资助项目“基于时空序列的水文过程相似性挖掘”
摘    要:现有的时间序列异步周期模式挖掘方法是在获取1-pattern有效段及周期的基础上再以枚举法得到i-patterns,时间复杂度较高。为解决该问题,提出一种改进的异步周期模式挖掘方法。在时间序列符号化后,使用基于Sequitur的候选模式算法获取候选i-patterns及其事件位置序列,通过基于OEOP的i-patterns有效段生成算法得到1-pattern和i-patterns的有效段及周期,从而生成有效子序列。实验结果表明,该方法具有较高的挖掘效率。

关 键 词:异步周期模式  Sequitur算法  时间序列  符号化  数据挖掘
收稿时间:2012-11-10
修稿时间:2012-01-04

Asynchronous Periodic Pattern Mining in Time Series Based on Sequitur
CHEN Yao , ZHU Yue-long , FENG Jun , LI Shi-jin.Asynchronous Periodic Pattern Mining in Time Series Based on Sequitur[J].Computer Engineering,2012,38(18):45-49.
Authors:CHEN Yao  ZHU Yue-long  FENG Jun  LI Shi-jin
Affiliation:1(1.School of Computer and Information,Hohai University,Nanjing 210098,China;2.School of Computer and Software,Nanjing University of Information Science & Technology,Nanjing 210044,China)
Abstract:Main existing algorithms mining asynchronous periodic patterns in time-series databases are designed to find i-patterns by enumeration based on the mining of valid segments and periodic patterns of 1-pattern,and time complexity is high.An improved algorithm based on Sequitur algorithm to mine asynchronous periodic pattern is proposed.It generates candidates for patterns based on the Sequitur algorithm to mine the recurring segments and their time-lists of events after the symbolization of time series.Then an algorithm generating valid segments of i-patterns based on One Event One Pattern(OEOP) algorithm is devised to mine directly some complex patterns,and finally valid subsequences are discovered.Experimental result demonstrates that this method has good mining efficiency.
Keywords:asynchronous periodic pattern  Sequitur algorithm  time series  symbolization  data mining
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