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High Performance Discovery In Time Series on Hardback by New York University
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Description

Time-series data - data arriving in time order, or a data stream - can be found in fields such as physics, finance, music, networking, and medical instrumentation. Designing fast, scalable algorithms for analyzing single or multiple time series can yield scientific discoveries, medical diagnoses, and certainly profits.High Performance Discovery in Time Series presents rapid-discovery techniques for finding portions of time series with many events (i.e., gamma-ray scatterings) and finding closely related time series (i.e., highly correlated price histories, or musical melodies). Such real-time streaming data analysis is critical for complex real-world data in telecommunications, bioinformatics, and finance databases.This new monograph provides a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. It offers essential coverage of the topic for database and online web services researchers and professionals, as well as an ideal resource for graduates.
Release date NZ
June 3rd, 2004
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Contributors
  • Edited by Donna Ryan
  • Edited by New York University
Illustrations
45 Illustrations, black and white; XV, 190 p. 45 illus.
Pages
190
Dimensions
156x234x12
ISBN-13
9780387008578
Product ID
2114929

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