Interpretation of the richardson plot in time series representation

William Blackburn, Miguel Segui Prieto, Alfons Josef Schuster

研究成果: Conference contribution

抄録

In fractal analysis of a time series, the relationship between series length and ruler length may be represented graphically as a Richardson Plot. Fractal dimension measures can be estimated for particular ranges of ruler length, supported by the graphical representation. This paper discusses Richardson Plots which have been obtained for several types of time series. From these, patterns have been identified with explanations. There is particular focus on local maxima and minima. Significant influences found present are described as gradient and vertex effects. The task - and implications - of partitioning the range of ruler lengths in determining fractal dimension measures is briefly addressed.

本文言語English
ホスト出版物のタイトルIntelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings
出版社Springer Verlag
ページ206-211
ページ数6
1983
ISBN(印刷版)3540414509, 9783540414506
出版ステータスPublished - 2000
外部発表はい
イベント2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 - Shatin, N.T., Hong Kong
継続期間: 2000 12月 132000 12月 15

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1983
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
国/地域Hong Kong
CityShatin, N.T.
Period00/12/1300/12/15

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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