Language: English
Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Language: English
Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publicat.
Language: English
Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Buch. Condition: Neu. Pattern Recognition and Classification in Time Series Data | Eva Volna (u. a.) | Buch | Gebunden | Englisch | 2016 | Information Science Reference | EAN 9781522505655 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Information Science Reference, 2016
ISBN 10: 1522505652 ISBN 13: 9781522505655
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.