000 03705nam a22005175i 4500
001 978-90-481-8768-3
003 DE-He213
005 20140220084601.0
007 cr nn 008mamaa
008 100427s2010 ne | s |||| 0|eng d
020 _a9789048187683
_9978-90-481-8768-3
024 7 _a10.1007/978-90-481-8768-3
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aAo, Sio-Iong.
_eauthor.
245 1 0 _aApplied Time Series Analysis and Innovative Computing
_h[electronic resource] /
_cby Sio-Iong Ao.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2010.
300 _aXIV, 112p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v59
505 0 _aApplied 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.
520 _aApplied 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.
650 0 _aEngineering.
650 0 _aSoftware engineering.
650 0 _aFourier analysis.
650 0 _aEngineering mathematics.
650 0 _aElectronics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aFourier Analysis.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789048187676
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v59
856 4 0 _uhttp://dx.doi.org/10.1007/978-90-481-8768-3
912 _aZDB-2-ENG
999 _c113539
_d113539