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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
998-1002,1007

Improved LDTW algorithm based on time-weighting

Zhu Zichun
Lyu Shengping
Liao Xinting
Jiang Cheng
Luo Yong
College of Engineering, South China Agricultural University, Guangzhou 510642, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0401

Abstract

DTW is one of the commonly used algorithms in time series similarity measurement. However, DTW has the shortcoming of pathological alignment and ignores the influence of time attribute. LDTW and TDTW have been proposed to handle two shortcomings of DTW separately, however they cannot be solved simultaneously by LDTW or TDTW independently. This paper proposed TLDTW algorithm. Firstly, it constructed time weight matrix by measuring the distance between points in two series. Secondly, it fused the corresponding time weights from time weight matrix into the recursive filling procedure for cumulative cost matrix of LDTW, thus it considered the time attribute and the problem of pathological alignment could still be suppressed. It conducted 1-NN classification experiment based on UCR dataset, and experimental results show that the classification accuracy based on TLDTW is better than other compared algorithms, and the reliability of TLDTW is verified by further comparison.

Foundation Support

广东省自然科学基金资助项目(2021A1515012395)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0401
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 998-1002,1007
Serial Number: 1001-3695(2022)04-006-0998-05

Publish History

[2021-12-09] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

朱紫纯, 吕盛坪, 廖鑫婷, 等. 基于时间加权改进的LDTW算法 [J]. 计算机应用研究, 2022, 39 (4): 998-1002,1007. (Zhu Zichun, Lyu Shengping, Liao Xinting, et al. Improved LDTW algorithm based on time-weighting [J]. Application Research of Computers, 2022, 39 (4): 998-1002,1007. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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