期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

时间序列数据的分段线性表示 被引量：19

PIECEWISE LINEAR REPRESENTATION OF TIME SERIES DATA
下载PDF
导出
摘要 在时间序列分段线性表示(PLR)基础上,提出一种新的基于特征点的分段方法,克服采用单一误差算法的模型失配问题,更加准确地反映过程状态的变化。 Based on PLR （piecewise linear representation）of time series, a novel important points-based method of segmentation is proposed. The problem of model mismatch is overcome ,and the obvious change of time series data is described precisely.
作者 喻高瞻 彭宏 胡劲松 郑启伦
机构地区 华南理工大学计算机工程与科学系
出处 《计算机应用与软件》 CSCD 北大核心 2007年第12期17-18,共2页 Computer Applications and Software
基金 国家自然科学基金(30230350) 广东省科技攻关项目(2004A10202001) 广州市科技攻关项目(2004Z2-D0091)
关键词 数据挖掘 时间序列 PLR模型 特征点 Data mining Time series PLR model Important points
分类号 TP273.2 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献11

  • 1Faloutsos C, Ranganathan M, Yannis M. Fast Subsequence Matching in Time series Databases[A]. Proc. ACM SIGMOD[ C] ,1994:419-429.
  • 2Agrawal R, Faloutsos C, Swami A. Efficient Similarity Search in Sequence Databases [ A]. Proc. of the 4th Conf. on Foundations of Data Organization and Algorithms [ C ], 1993:69 - 84.
  • 3Chan K,Fu W. Efficient Time Series Matching by Wavelets[ A]. Proc. of the 15th IEEE International Conference on Data Engineering [ C ], 1999:126- 133.
  • 4Agrawal R,Lin K, Sawhney H S,Shim K, Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time Series Databases [ A ]. Proc. of the VLDB [ C ], 1995:490 - 501.
  • 5Ge X,Smyth P. Segmental Semi-Markov Models for Endpoint Detection in Plasma Etching[ J]. IEEE Transactions on Semiconductor Engineering, 2000.
  • 6Pavlidis T, Horowitz S. Segmentation of Plane Curves [ J ]. IEEE Transactions on Computers, 1974,23 ( 8 ) :860 - 870.
  • 7Keogh E,Chakrabarti K, Pazzani M. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases [ J ]. Journal of Knowledge and Information Systems,2000,3 (3) :263 -286.
  • 8Wang C, Wang S. Supporting Content-based Searches on Time Series via Approximation[ A]. Proceedings of the 12th International Conference on Scientific and Statistical Database Management [ C] ,2000.
  • 9Chen B H,Wang X Z,Yang S H,MeGreavy C, Application of Wavelets and Neural Networks to Diagnostic System Development, 1 Feature Extraction [J]. Computers & Chemical Engineering, 1999,23 (7) :899 - 906.
  • 10Keogh E,Selina C, David H, Michael J. An Online Algorithm for Segmenting Time Series[ A]. Proceedings of the IEEE International Conference on Data Mining[ C] ,2001:289- 296.

二级参考文献10

  • 1[1]Faloutsos C, Ranganathan M, Yannis M. Fast Subsequence Matching in Time-series Databases [ A ]. Proc. ACM SIGMOD [C]. 1994. 419-429.
  • 2[2]Agrawal R, Faloutsos C, Swami A. Efficient Similarity Search in Sequence Databases[ A]. Proc. of the 4th Conf. on Foundations of Data Organization and Algorithms[ C]. 1993.69-84.
  • 3[3]Chan K, Fu W. Efficient Time Series Matching by Wavelets[A]. Proc. of the 15th IEEE International Conference on Data Engineering [ C ].1999.126 -133.
  • 4[4]Agrawal R, Lin K, Sawhney H S, Shim K. Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases[ A]. Proc. of the VLDB[ C]. 1995. 490-501.
  • 5[5]Ge X,Smyth P. Segmental Semi-Markov Models for Endpoint Detection in Plasma Etching [ J ]. IEEE Transactions on Semiconductor Engineering,2000.
  • 6[6]Pavlidis T,Horowitz S. Segmentation of Plane Curves[J]. IEEE Transactions on Computers, 1974,23 ( 8 ) :860-870.
  • 7[7]Keogh E, Chakrabarti K, Pazzani M. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases[ J].Journal of Knowledge and Information Systems, 2000, 3 ( 3 ):263-286.
  • 8[8]Wang C, Wang S. Supporting Content-based Searches on Time Series via Approximation[ A]. Proceedings of the 12th International Conference on Scientific and Statistical Database Manage ment[C]. 2000.
  • 9[9]Chen B H, Wang X Z, Yang S H, McGreavy C. Application of Wavelets and Neural Networks to Diagnostic System Development, 1 Feature Extraction [ J ]. Computers & Chemical Engineering, 1999,23 (7) :899-906.
  • 10[10]Keogh E,Selina C,David H,Michael J. An Online Algorithm for Segmenting Time Series [ A ]. Proceedings of the IEEE International Conference on Data Mining[ C]. 2001. 289-296.

共引文献2

同被引文献185

引证文献19

二级引证文献65

计算机应用与软件
2007年 第12期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部