Data Fusion Methodology and Applications

ISBN: 9780444639844 出版年：2019 页码：398 Elsevier Science_RM

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.Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discoveryIncludes comprehensible, theoretical chapters written for large and diverse audiencesProvides a wealth of selected application to the topics included