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Applied Time Series Analysis and Innovative Computing: Lecture Notes in Electrical Engineering, cartea 59

Autor Sio Iong Ao
en Limba Engleză Paperback – 28 mai 2012
Applied Time Series Analysis and Innovative Computing contains the applied time series analysis and innovative computing paradigms, with frontier application studies for the time series problems based on the recent works at the Oxford University Computing Laboratory, University of Oxford, the University of Hong Kong, and the Chinese University of Hong Kong. The monograph was drafted when the author was a post-doctoral fellow in Harvard School of Engineering and Applied Sciences, Harvard University. It provides a systematic introduction to the use of innovative computing paradigms as an investigative tool for applications in time series analysis. Applied Time Series Analysis and Innovative Computing offers the state of art of tremendous advances in applied time series analysis and innovative computing paradigms and also serves as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms.
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Specificații

ISBN-13: 9789400732025
ISBN-10: 9400732023
Pagini: 128
Ilustrații: XIV, 112 p.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.19 kg
Ediția:2010
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

Applied Time Series Analysis.- Advances in Innovative Computing Paradigms.- Real-Word Application I: Developing Innovative Computing Algorithms for Business Time Series.- Real-Word Application II: Developing Innovative Computing Algorithms for Biological Time Series.- Real-Word Application III: Developing Innovative Computing Algorithms for Astronomical Time Series.

Textul de pe ultima copertă

Applied Time Series Analysis and Innovative Computing contains the applied time series analysis and innovative computing paradigms, with frontier application studies for the time series problems based on the recent works at the Oxford University Computing Laboratory, University of Oxford, the University of Hong Kong, and the Chinese University of Hong Kong. The monograph was drafted when the author was a post-doctoral fellow in Harvard School of Engineering and Applied Sciences, Harvard University. It provides a systematic introduction to the use of innovative computing paradigms as an investigative tool for applications in time series analysis. Topics covered include Frequency Domain, Correlation, Smoothing, Periodogram, Autoregression, ARIMA Models, Discrimination Analysis, Clustering Analysis, Factor Analysis, Dynamic Fourier Analysis, Random Coefficient Regression, Discrete Fourier Transform, Innovative Computing Algorithms, Knowledge Extraction, Large Complex Databases, Modeling and Simulations, Integration of Hardware, Systems and Networks, Grid Computing, Visualization, Design and Communication, Business Time Series Applications, Biological Time Series Applications, and Astronomical Time Series Applications. Applied Time Series Analysis and Innovative Computing offers the state of art of tremendous advances in applied time series analysis and innovative computing paradigms and also serves as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms.

Caracteristici

With comprehensive introductory chapter to the time series analysis With detailed descriptions of some current innovative computing paradigms With detailed descriptions of some tailor-made innovative computing paradigms for specific time series problems With frontier case studies based on the recent and current works at top universities such as University of Oxford and Harvard University Includes supplementary material: sn.pub/extras