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Taschenbuch. Condition: Neu. Data Fusion Methodology and Applications | Marina Cocchi | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2019 | Elsevier | EAN 9780444639844 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.
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Condition: New. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected applica.
Language: English
Published by Nova Science Publishers, Inc., 2017
ISBN 10: 1536127205 ISBN 13: 9781536127201
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Language: English
Published by Elsevier Science & Technology, Elsevier, 2019
ISBN 10: 0444639845 ISBN 13: 9780444639844
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Englisch.
Language: English
Published by Elsevier Science Ltd, 2019
ISBN 10: 0444639845 ISBN 13: 9780444639844
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Paperback. Condition: Brand New. 400 pages. 9.00x6.00x0.87 inches. In Stock. This item is printed on demand.
Language: English
Published by Elsevier Science & Technology, Elsevier, 2019
ISBN 10: 0444639845 ISBN 13: 9780444639844
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales.