Overview
- 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
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 59)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Applied Time Series Analysis and Innovative Computing
Authors: Sio-Iong Ao
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-90-481-8768-3
Publisher: Springer Dordrecht
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Hardcover ISBN: 978-90-481-8767-6Published: 29 April 2010
Softcover ISBN: 978-94-007-3202-5Published: 28 May 2012
eBook ISBN: 978-90-481-8768-3Published: 21 April 2010
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XIV, 112
Topics: Analysis, Fourier Analysis, Mathematical Modeling and Industrial Mathematics, Mathematical and Computational Engineering, Electronics and Microelectronics, Instrumentation, Software Engineering/Programming and Operating Systems