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 & Management, University of Lisbon, Portugal.
By: Maharaj, Elizabeth Ann [author.]
Contributor(s): D'Urso, Pierpaolo [author.] | Caiado, Jorge [author.]
Series: Chapman & Hall/CRC computer science & data analysis seriesPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]Description: xv, 228 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781498773218Subject(s): Time-series analysis | Cluster analysisDDC classification: Grad 519.55 LOC classification: QA280 | .M3345 2019
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.
| Item type | Current location | Home library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
| CIRCULATION BOOK | GRADUATE LIBRARY | GRADUATE LIBRARY CIRCULATION SECTION | NON-FICTION | Grad 519.55 M214 2019 (Browse shelf) | 10421 | Available | 10421 |
Total holds: 0
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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