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Time Series Clustering and Classification (Paperback) Loot Price: R1,448
Discovery Miles 14 480
Time Series Clustering and Classification (Paperback): Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado

Time Series Clustering and Classification (Paperback)

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado

Series: Chapman & Hall/CRC Computer Science & Data Analysis

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Loot Price R1,448 Discovery Miles 14 480 | Repayment Terms: R136 pm x 12*

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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

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Release date: June 2021
First published: 2019
Authors: Elizabeth Ann Maharaj • Pierpaolo D'Urso • Jorge Caiado
Dimensions: 234 x 156 x 18mm (L x W x T)
Format: Paperback
Pages: 246
ISBN-13: 978-1-03-209349-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 1-03-209349-8
Barcode: 9781032093499

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