Time Series Clustering and Classification 1st Edition PDF ebook

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1st Edition PDF ebook by author Elizabeth Ann Maharaj; Pierpaolo D’Urso; Jorge Caiado published by Chapman & Hall in 2019 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
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eBook Details:

Full title: Time Series Clustering and Classification
1st Edition
Edition: 1st
Copyright year: 2019
Publisher: Chapman & Hall
Author: Elizabeth Ann Maharaj; Pierpaolo D’Urso; Jorge Caiado
ISBN: 9780429058264, 9780429603303
Format: PDF

Description of Time Series Clustering and Classification
1st Edition:
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

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