High Performance Discovery in Time Series: Techniques and Case Studies

By: 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. 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.

• Format: Paperback
• Language: English
• ISBN: 1441918426
• ISBN13: 9781441918420
• Release Date: December 2011
• Publisher: Springer
• Length: 190 Pages
• Weight: 0.66 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"