A Global Approach to Data Value Maximization: Integration, Machine Learning and Multimodal Analysis

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Title: A Global Approach to Data Value Maximization: Integration, Machine Learning and Multimodal Analysis
Description: This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of “sonification”, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management.
Authors: Paolo Dell’Aversana, Author
Resource Type: eBook.
Subjects: Quantitative research, Data sets, Big data
Categories: COMPUTERS / Database Administration & Management, TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2110227
RelevancyScore: 1090
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1090.09973144531
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  Data: This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of “sonification”, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.55
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Data sets
        Type: general
      – SubjectFull: Big data
        Type: general
    Titles:
      – TitleFull: A Global Approach to Data Value Maximization: Integration, Machine Learning and Multimodal Analysis
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Paolo Dell’Aversana, Author
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          Name:
            NameFull: Paolo Dell’Aversana, Author
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 09
              M: 05
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781527531475
            – Type: isbn-electronic
              Value: 9781527533370
          Titles:
            – TitleFull: A Global Approach to Data Value Maximization: Integration, Machine Learning and Multimodal Analysis
              Type: main
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