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Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance,

Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning of the relevant patterns This dissertation proposes TS representations and methods for supervised TS analysis.

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    Date Created
    • 2012
    Resource Type
  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2012
      Note type
      thesis
    • Includes bibliographical references (p. 164-175)
      Note type
      bibliography
    • Field of study: Industrial engineering

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    by Mustafa Gokce Baydogan

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