Published by CRC Press April 2019, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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ISBN 10: 1032032049 ISBN 13: 9781032032047
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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardcover. Condition: Brand New. 240 pages. 9.25x6.25x0.50 inches. In Stock.
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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.FeaturesProvides an overview of the methods and applications of pattern recognition of time seriesCovers a wide range of techniques, including unsupervised and supervised approachesIncludes a range of real examples from medicine, finance, environmental science, and moreR and MATLAB code, and relevant data sets are available on a supplementary website 246 pp. Englisch.
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Elizabeth Ann Maharaj is an Associate Professor in the Department of Econometrics and Business Statistics at Monash University, Australia. She has a Ph.D. from Monash University on the Pattern Recognition of Time Series. Ann is an electe.
Published by Chapman And Hall/CRC, 2021
ISBN 10: 1032093498 ISBN 13: 9781032093499
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.FeaturesProvides an overview of the methods and applications of pattern recognition of time seriesCovers a wide range of techniques, including unsupervised and supervised approachesIncludes a range of real examples from medicine, finance, environmental science, and moreR and MATLAB code, and relevant data sets are available on a supplementary website.
Published by Taylor and Francis Inc, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: moluna, Greven, Germany
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Elizabeth Ann Maharaj is an Associate Professor in the Department of Econometrics and Business Statistics at Monash University, Australia. She has a Ph.D. from Monash University on the Pattern Recognition of Time Series. Ann is an electe.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Chapman And Hall/CRC, 2019
ISBN 10: 1498773214 ISBN 13: 9781498773218
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book 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.