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Measurement and Data Science

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Title: Measurement and Data Science
Description: Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of measurement and data science, a great deal of newly developed products invade our surroundings and enable previously unconceivable smart services and support.This volume consists of a number of chapters covering the scientific results of researchers working in this field at the Department of Measurement and Information Systems of the Budapest University of Technology and Economics, Hungary. The book reports research results attained by carefully combining some of the classical theories of measurement and data processing. These new approaches and methods contribute to higher quality measurement design and measured data evaluation, and provide hints to find efficient implementations for instrumentation.
Authors: Gábor Péceli, Editor
Resource Type: eBook.
Subjects: Physical measurements, Big data, Data mining
Categories: TECHNOLOGY & ENGINEERING / Automation, COMPUTERS / Data Science / General, TECHNOLOGY & ENGINEERING / Measurement
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
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PubType: eBook
PubTypeId: ebook
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  Data: Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of measurement and data science, a great deal of newly developed products invade our surroundings and enable previously unconceivable smart services and support.This volume consists of a number of chapters covering the scientific results of researchers working in this field at the Department of Measurement and Information Systems of the Budapest University of Technology and Economics, Hungary. The book reports research results attained by carefully combining some of the classical theories of measurement and data processing. These new approaches and methods contribute to higher quality measurement design and measured data evaluation, and provide hints to find efficient implementations for instrumentation.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 530.8
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Physical measurements
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Data mining
        Type: general
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      – TitleFull: Measurement and Data Science
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            NameFull: Gábor Péceli, Editor
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            NameFull: Gábor Péceli, Editor
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 16
              M: 03
              Type: profile
              Y: 2021
          Identifiers:
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              Value: 9781527560710
            – Type: isbn-electronic
              Value: 9781527564268
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            – TitleFull: Measurement and Data Science
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