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Applications of Big Data in Large- and Small-Scale Systems

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Title: Applications of Big Data in Large- and Small-Scale Systems
Description: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.
Authors: Sam Goundar, Praveen Kumar Rayani
Resource Type: eBook.
Subjects: Decision making, Big data--Industrial applications, Data mining
Categories: COMPUTERS / Distributed Systems / General, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
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PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.
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      – Code: 005.7
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Big data--Industrial applications
        Type: general
      – SubjectFull: Data mining
        Type: general
    Titles:
      – TitleFull: Applications of Big Data in Large- and Small-Scale Systems
        Type: main
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          Name:
            NameFull: Sam Goundar
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            NameFull: Praveen Kumar Rayani
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            NameFull: Sam Goundar
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            NameFull: Praveen Kumar Rayani
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 06
              M: 03
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799866732
            – Type: isbn-electronic
              Value: 9781799866756
            – Type: isbn-electronic
              Value: 9781799866763
          Titles:
            – TitleFull: Applications of Big Data in Large- and Small-Scale Systems
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