Titlebook: High Performance Discovery In Time Series; Techniques and Case Dennis Shasha,Yunyue Zhu Book 2004 Dennis E. Shasha and Yunyue Zhu 2004 alg

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978-1-4419-1842-0Dennis E. Shasha and Yunyue Zhu 2004

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https://doi.org/10.1007/978-1-4757-4046-2algebra; algorithms; bioinformatics; calculus; communication; computer; data analysis; database; databases; d

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Data Reduction and Transformation TechniquesFrom a data mining point of view, time series data has two important characteristics:

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Time Series Preliminariesdaily, and hourly. Data recorded irregularly are often interpolated to form values at regular intervals before the time series is analyzed. We often represent a time series as just a vector of real numbers.