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Applied Time Series Analysis and Innovative Computing

Aus der Reihe Lecture Notes in Electrical Engineering
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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.04.2010

Verlag

Springer Netherland

Seitenzahl

112

Maße (L/B/H)

24,4/16,6/1,5 cm

Gewicht

347 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-90-481-8767-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.04.2010

Verlag

Springer Netherland

Seitenzahl

112

Maße (L/B/H)

24,4/16,6/1,5 cm

Gewicht

347 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-90-481-8767-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Applied Time Series Analysis and Innovative Computing
  • Produktbild: Applied Time Series Analysis and Innovative Computing
  • Chapter 1. Introduction
    1 Applied Time Series Analysis
    1.2 Advances in Innovative Computing Paradigms
    1.3 Real-World Applications: Innovative Computing Paradigms for Time Series Problems
    Chapter 2. Applied Time Series Analysis
    2.1 Basic Characteristics of Time Series
    2.2 Autoregression and ARIMA Models
    2.3 Mathematical Models in the Frequency Domain
    Chapter 3. Advances in Innovative Computing Paradigms
    3.1 Research Advances in Computing Algorithms and Databases
    3.2 Research Advances in Integration of Hardware, Systems and Networks
    3.3 Research Advances in Internet, Web and Grid Computing
    3.4 Research Advances in Visualization, Design and Communication
    3.5 Advances and Applications for Time Series Problems
    3.6 An Illustrative Example of Building an Innovative Computing Algorithm for Simulated Time Series
    Chapter 4. Real-Word Application I: Developing Innovative Computing Algorithms for Business Time Series
    4.1 Business Time Series
    4.2 Advances in Business Forecasting
    4.3 Developing a Hybrid Intelligent Econometrics Model for Business Forecasting
    4.4 Application for Tourism Demand Forecasting
    4.5 Application for Cross-Market Financial Forecasting
    4.6 Discussions and Further Works
    Chapter 5. Real-Word Application II: Developing Innovative Computing Algorithms for Biological Time Series
    5.1 Biological Time Series
    5.2 Advances in Experimental Designs for Microarray Time Series
    5.3 Reverse Engineering of Biological Networks
    5.4 Models for Biological Network Inference
    5.5 Discussions and Further Works
    Chapter 6. Real-Word Application III: Developing Innovative Computing Algorithms for Astronomical Time Series
    6.1 Astronomical Time Series
    6.2 Advances and Applications of Innovative Computing Paradigms
    6.3 Motivations for Investigating the Quasar Time Series with Innovative Approaches
    6.4 Advances in Emerging Methods for Quasar Studies
    6.5 Autocorrelations Analysis of Quasars and Clustering Approach
    6.6 Discussions and Further Works