High Performance Discovery In Time Series
| Author | : New York University |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 195 |
| Release | : 2013-11-09 |
| ISBN-10 | : 9781475740462 |
| ISBN-13 | : 1475740468 |
| Rating | : 4/5 (468 Downloads) |
Book Synopsis High Performance Discovery In Time Series by : New York University
Download or read book High Performance Discovery In Time Series written by New York University and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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