Data Fusion Methodology and Applications

Marina Cocchi

ISBN 10: 0444639845 / ISBN 13: 9780444639844

Published by Elsevier Inc, 2019

About this Item

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.

Seller Inventory # 9780444639844

Bibliographic Details

• Title: Data Fusion Methodology and Applications
• Publisher: Elsevier Inc
• Publication Date: 2019
• Language: English
• ISBN 10: 0444639845
• ISBN 13: 9780444639844
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 21D millimeters 229 millimeters width by 152 millimeters height by 21 millimeters depth
• Weight: 529 grams

About this title

Synopsis

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 discovery
• Includes comprehensible, theoretical chapters written for large and diverse audiences
• Provides a wealth of selected application to the topics included

About the Author

Marina Cocchi currently serves as the Associate Professor in the University of Modena and Reggio Emilia’s Department of Chemical and Geological Sciences. She has dedicated nearly two decades of chemometric and data analysis research to the university, exploring topics ranging from data fusion procedures to development and application of multivariates. Cocchi has also contributed to over one hundred scientific publications throughout her career.