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Time series clustering and classification / Elizabeth Ann Maharaj (Department of Econometrics and Business Statistics, Monash University, Australia), Pierpaolo D'Urso (Department of Social and Economic Sciences, Sapienza--University of Rome, Italy), Jorge Caiado (Department of Mathematics, ISEG, Lisbon School of Economics and Management, University of Lisbon, Portugal).

By: Contributor(s): Material type: TextLanguage: English Series: Chapman & Hall/CRC computer science and data analysis seriesPublication details: Chapman & Hall, 2019.ISBN:
  • 9780429058264
  • 9780429603303
Subject(s): Additional physical formats: Print version:: Time series clustering and classificationDDC classification:
  • 519.55 23 MAH
Contents:
Introduction -- Time series features and models -- Traditional cluster analysis -- Fuzzy clustering -- Observation-based clustering -- Feature-based clustering -- Model-based clustering -- Other time series clustering approaches -- Feature-based approaches -- Other time series classification approaches -- Software and data sets.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General Books CUTN Central Library Sciences Non-fiction 519.55 MAH (Browse shelf(Opens below)) Available 49308

Includes bibliographical references and index.

Introduction -- Time series features and models -- Traditional cluster analysis -- Fuzzy clustering -- Observation-based clustering -- Feature-based clustering -- Model-based clustering -- Other time series clustering approaches -- Feature-based approaches -- Other time series classification approaches -- Software and data sets.

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