High Performance Discovery in Time Series: Techniques and Case Studies (Monographs in Computer Science)
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author dennis shasha author yunyue zhu format hardback language english publication year 06 07 2004 series monographs in computer science subject social sciences subject 2 library information science title high performance discovery in time series techniques and case studies monographs in computer science author shasha dennis zhu yunyue publisher springer verlag new york inc publication date jun 30 2004 pages 190 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 0387008578 Find new edition of High Performance Discovery in Time Series here
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High Performance Discovery In Time Series
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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 (ie, gamma-ray scatterings) and finding closely related time series (ie, highly correlated price histories, or musical melodies). Such real-time str
High Performance Discovery in Time Series presents rapid-discovery techniques for finding portions of time series with many events (ie, gamma-ray scatterings) and finding closely related time series (ie, highly correlated price histories, or musical melodies). Such real-time str
Categories: Time-series analysis. Contributors: New York University - Author. Format: Hardcover
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