An approach of time series Piecewise Linear Representation based on local maximum minimum and extremum | |
Yan, Changfeng; Fang, Jianfang; Wu, Lixiao; Ma, Shimin | |
2013-06-10 | |
发表期刊 | Journal of Information and Computational Science |
ISSN | 15487741 |
卷号 | 10期号:9页码:2747-2756 |
摘要 | Time series is a kind of important complex data. It is a non-trivial problem to store data, analyze data and mine knowledge in its original data directly because of the inherent high dimensionality and complexity of the data. It is the most promising solution to achieve dimensionality reduction on the data. There are five major techniques in dimensionality reduction such as Discrete Fourier Transform, Discrete Wavelets Transform, Singular Value Decomposition, Symbolic Representation and Piecewise Linear Representation. Integrating the idea of important point and extreme point, a new approach of time series piecewise linear representation are proposed based on local maximum minimum and extremum in this paper. The results of experiments by using the public datasets from several different fields are shown that the proposed technique appears better fitting effect on the adjacent data value less volatile datasets and it has nice fitting effects in the volatile datasets under the low compression ratio condition compared with two other piecewise liner representation techniques. Copyright © 2013 Binary Information Press. |
关键词 | Discrete Fourier transforms Piecewise linear techniques Time series Adjacent data fluctuation ratio Dimensionality reduction Discrete wavelets transforms Fitting error Local maximum Piecewise linear representation Representation techniques Symbolic representation |
DOI | 10.12733/jics20101797 |
收录类别 | EI |
语种 | 英语 |
出版者 | Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong |
EI入藏号 | 20132716471570 |
EI主题词 | Data compression |
EI分类号 | 716.1 Information Theory and Signal Processing - 921.3 Mathematical Transformations - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 922.2 Mathematical Statistics |
来源库 | Compendex |
分类代码 | 716.1 Information Theory and Signal Processing - 921.3 Mathematical Transformations - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 922.2 Mathematical Statistics |
引用统计 | 无
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文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/112874 |
专题 | 机电工程学院 |
作者单位 | School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China |
第一作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Yan, Changfeng,Fang, Jianfang,Wu, Lixiao,et al. An approach of time series Piecewise Linear Representation based on local maximum minimum and extremum[J]. Journal of Information and Computational Science,2013,10(9):2747-2756. |
APA | Yan, Changfeng,Fang, Jianfang,Wu, Lixiao,&Ma, Shimin.(2013).An approach of time series Piecewise Linear Representation based on local maximum minimum and extremum.Journal of Information and Computational Science,10(9),2747-2756. |
MLA | Yan, Changfeng,et al."An approach of time series Piecewise Linear Representation based on local maximum minimum and extremum".Journal of Information and Computational Science 10.9(2013):2747-2756. |
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