High performance discovery in time series: techniques and case studies

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, anddensity detection. Included are self-contained descriptions of wavelets, fastFourier transforms, and sketches as they apply to time-series analysis. Detailed applications are built on a solid scientific basis. INDICE: I--REVIEW OF TECHNIQUES: * Time series preliminaries * Data reduction and transformation techniques * Indexing methods * Flexible similarity search .II--CASE STUDIES: * StatStream * Query by humming * Elastic burst detection * A call to exploration .* Answers to questions * References * Index.

• ISBN: 978-1-4419-1842-0
• Editorial: Springer
• Encuadernacion: Rústica
• Fecha Publicación: 31/03/2012
• Nº Volúmenes: 1
• Idioma: Inglés