Time Series and Networks Analysis A hands-on approach (Matlab & Octave) /
This textbook provides students with a hands-on introduction to time series analysis. Readers will learn the potential of the methods but also benefit from a step-by-step guide to apply them on simple data, as well as applications in real science in domains such as physics, environmental science, ph...
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| 主要な著者: | , |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| 版: | 1st ed. 2025. |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-92628-0 |
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目次:
- Introduction
- Time series statistics
- Time domain analysis
- Correlation and causality
- Clustering time series
- Nonlinear analysis
- Complex network time series
- Topological properties of networks
- Introduction to machine learning
- Unsupervised / Supervised method
- Machine learning and networks
- Analyzing large simulation results
- Examples of Experimental Data
- Examples of Field Measurement Data
- Examples of Finance Data.