Time Series Clustering And Classification (Chapman & Hall/Crc Computer Science & Data Analysis)

Chapman and Hall/CRC
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9781498773218
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ISBN13:
9781498773218
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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 classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features Provides an overview of the methods and applications of pattern recognition of time series Covers a wide range of techniques, including unsupervised and supervised approaches Includes a range of real examples from medicine, finance, environmental science, and more R and MATLAB code, and relevant data sets are available on a supplementary website
  • | Author: Elizabeth Ann Maharaj|Pierpaolo D'Urso|Jorge Caiado
  • | Publisher: Chapman and Hall/CRC
  • | Publication Date: Apr 12, 2019
  • | Number of Pages: 228 pages
  • | Language: English
  • | Binding: Hardcover
  • | ISBN-10: 1498773214
  • | ISBN-13: 9781498773218
Author:
Elizabeth Ann Maharaj|Pierpaolo D'Urso|Jorge Caiado
Publisher:
Chapman and Hall/CRC
Publication Date:
Apr 12, 2019
Number of pages:
228 pages
Language:
English
Binding:
Hardcover
ISBN-10:
1498773214
ISBN-13:
9781498773218