Marina Cocchi
Elsevier Science
e druk, 2019
9780444639844
Data Fusion Methodology and Applications
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2019
ISBN13: 9780444639844
Rubricering
Onderdeel van serie
Data Handling in Science and Technology
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Introduction: ways and means to deal with data from multiple sources<br>2. Framework for low-level data fusion<br>3. General framing of low-high-mid level Data Fusion with examples in life science<br>4. Numerical optimization based algorithms for data fusion<br>5. Recent advances in High-Level Fusion Methods to classify multiple analytical Chemical Data<br>6. SO-(N)-PLS: Sequentially Orthogonalized-(N)-PLS in Data Fusion context<br>7. ComDim methods for the analysis of multi block data in a data fusion perspective<br>8. Data fusion via multiset analysis <br>9. Dealing with data heterogeneity in a data fusion perspecitve: models, methodologies, and algorithms<br>10. Data Fusion strategies in food analysis<br>11. Data fusion for image analysis<br>12. Data fusion using window based models: Application to outlier detection, classification, and forensic image analysis</p>