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Part of the book series: Monographs in Computer Science ((MCS))

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Abstract

A time series is a sequence of recorded values. These values are usually real numbers recorded at regular intervals, such as yearly, monthly, weekly, daily, 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.

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© 2004 Dennis E. Shasha and Yunyue Zhu

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Shasha, D., Zhu, Y. (2004). Time Series Preliminaries. In: High Performance Discovery in Time Series. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4046-2_1

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  • DOI: https://doi.org/10.1007/978-1-4757-4046-2_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-1842-0

  • Online ISBN: 978-1-4757-4046-2

  • eBook Packages: Springer Book Archive

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