High Performance Discovery in Time Series
Techniques and Case Studies
(Sprache: Englisch)
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....
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Klappentext zu „High Performance Discovery in Time Series “
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.
Inhaltsverzeichnis zu „High Performance Discovery in Time Series “
I. Review of Techniques: Time series preliminaries; Data reduction and transformation techniques; Indexing methods; Flexible similarity searchII. Case Studies: StatStream; Query by humming; Elastic burst detection; A call to exploration
Answers to questions
References
Index
Bibliographische Angaben
- Autor: New York University
- 2004, 190 Seiten, 85 Abbildungen, Masse: 16,2 x 24,4 cm, Gebunden, Englisch
- Herausgegeben:New York University; Ryan, Donna
- Herausgegeben: New York University, Donna Ryan
- Verlag: Springer, New York
- ISBN-10: 0387008578
- ISBN-13: 9780387008578
Sprache:
Englisch
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