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High Performance Discovery In Time Series: Techniques and Case Studies - Monographs in Computer Science New York University And and Ed. edition
High Performance Discovery In Time Series: Techniques and Case Studies - Monographs in Computer Science
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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