Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022
EditorsXingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages833-842
Number of pages10
ISBN (Electronic)9781665450997
DOIs
StatePublished - 2022
Event22nd IEEE International Conference on Data Mining, ICDM 2022 - Orlando, United States
Duration: Nov 28 2022Dec 1 2022

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
Volume2022-November
ISSN (Print)1550-4786

Conference

Conference22nd IEEE International Conference on Data Mining, ICDM 2022
Country/TerritoryUnited States
CityOrlando
Period11/28/2212/1/22

ASJC Scopus Subject Areas

  • General Engineering

Keywords

  • chaotic system
  • dynamical system
  • long-term prediction
  • sequential data

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