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Data Fusion Methodology and Applications

1st Edition, Volume 31 - May 11, 2019

Editor: Marina Cocchi

Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 4 - 6 3 9 8 4 - 4
eBook ISBN:
9 7 8 - 0 - 4 4 4 - 6 3 9 8 5 - 1

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 in… Read more

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.