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03978nam a22005895i 4500 |
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978-90-481-8768-3 |
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DE-He213 |
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20151204152450.0 |
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cr nn 008mamaa |
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100427s2010 ne | s |||| 0|eng d |
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|a 9789048187683
|9 978-90-481-8768-3
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|a 10.1007/978-90-481-8768-3
|2 doi
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|d GrThAP
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|a QA299.6-433
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|a PBK
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|a MAT034000
|2 bisacsh
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|a Ao, Sio-Iong.
|e author.
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|a Applied Time Series Analysis and Innovative Computing
|h [electronic resource] /
|c by Sio-Iong Ao.
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|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2010.
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|a XIV, 112 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Electrical Engineering,
|x 1876-1100 ;
|v 59
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|a 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.
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|a 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.
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|a Mathematics.
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|a Software engineering.
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|a Mathematical analysis.
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|a Analysis (Mathematics).
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|a Fourier analysis.
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|a Mathematical models.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Electronics.
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|a Microelectronics.
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|a Mathematics.
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|a Analysis.
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|a Fourier Analysis.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Appl.Mathematics/Computational Methods of Engineering.
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|a Electronics and Microelectronics, Instrumentation.
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|a Software Engineering/Programming and Operating Systems.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789048187676
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|a Lecture Notes in Electrical Engineering,
|x 1876-1100 ;
|v 59
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|u http://dx.doi.org/10.1007/978-90-481-8768-3
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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