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Item Details
| Title:
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HIGH PERFORMANCE DISCOVERY IN TIME SERIES
TECHNIQUES AND CASE STUDIES |
| By: |
Dennis Shasha, New York University, Yunyue Zhu |
| Format: |
Hardback |
| List price:
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£112.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0387008578 |
| ISBN 13: |
9780387008578 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
1 June, 2004 |
| Edition: |
and and ed. |
| Series: |
Monographs in Computer Science |
| Pages: |
205 |
| Description: |
A survey of concepts and techniques for describing and analyzing large-scale time-series data streams. It covers such topics as: algorithms for query by humming, gamma-ray burst detection, and density detection. It includes self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis. |
| Synopsis: |
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. Included are self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis. Detailed applications are built on a solid scientific basis. |
| Illustrations: |
45 black & white illustrations, biography |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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