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High Performance Discovery In Time Series: Techniques and Case Studies - Monographs in Computer Science And and Ed. edition
New York University
High Performance Discovery In Time Series: Techniques and Case Studies - Monographs in Computer Science And and Ed. edition
New York University
This monograph is a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. Some topics covered are algorithms for query by humming, gamma-ray burst detection, pairs trading, and density detection.
190 pages, 45 black & white illustrations, biography
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | June 1, 2004 |
ISBN13 | 9780387008578 |
Publishers | Springer-Verlag New York Inc. |
Pages | 190 |
Dimensions | 155 × 235 × 12 mm · 417 g |
Language | English |
Editor | New York University |
Editor | Ryan, Donna |
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