Data Fusion Methodology and Applications

Released on by Marina Cocchi
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  • Data Fusion Methodology and Applications Book Detail

  • Author : Marina Cocchi
  • Release Date : 2019-05-11
  • Publisher : Elsevier
  • Genre : Science
  • Pages : 398
  • ISBN 13 : 0444639853
  • File Size : 56,56 MB
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Data Fusion Methodology and Applications by Marina Cocchi PDF Summary

Book Description: 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

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Data Fusion Methodology and Applications

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

Principles of Statistical Data Handling

Principles of Statistical Data Handling

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Principles of Statistical Data Handling is designed to help readers understand the principles of data handling so that they can make better use of computer data