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Data Fusion Methodology and Applications

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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.


Request Code : ZLIBIO3031193
Categories:
Year:
2019
Publisher:
Elsevier
Language:
English
Pages:
396
ISBN 10:
0444639845
ISBN 13:
9780444639844
ISBN:
0444639845,9780444639844
Series:
Data Handling in Science and Technology, 31

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