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Accurate and fast time series classification based on compressed random Shapelet Forest

  • Published:2022-06-21 Issue: Volume: Page:
  • ISSN:0924-669X
  • Container-title:Applied Intelligence
  • language:en
  • Short-container-title:Appl Intell

Author:

Yang Jun,Jing SiyuanORCID,Huang Guanying

Funder

Intelligent Terminal Key Laboratory of Sichuan Province

Key Laboratory of Internet Natural Language Processing of Sichuan Province Education Department

Science and Technology Bureau of Leshan Town

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Time series classification with random temporal features;Journal of King Saud University - Computer and Information Sciences;2023-10

2. Review of Time Series Classification Techniques and Methods;2023 International Seminar on Application for Technology of Information and Communication (iSemantic);2023-09-16

3. Experimental analysis of similarity measurements for multivariate time series and its application to the stock market;Applied Intelligence;2023-08-08

4. Time Series Compression for IoT: A Systematic Literature Review;Wireless Communications and Mobile Computing;2023-08-01
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