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)
The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor & Francis Group,
[2019]
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| Series: | Series in computer science and data analysis.
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| Subjects: |
Internet
Full Text (via Taylor & Francis)Online
| Call Number: |
QA280
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| QA280 | Available |