Applied Time Series Analysis and Innovative Computing
Author(s) -
Sio-Iong Ao
Publication year - 2010
Publication title -
lecture notes in electrical engineering
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.134
H-Index - 33
eISSN - 1876-1119
pISSN - 1876-1100
DOI - 10.1007/978-90-481-8768-3
Subject(s) - series (stratigraphy) , computer science , frontier , time series , machine learning , geography , geology , paleontology , archaeology
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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