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Applied Machine Learning for Smart Data Analysis

Bibliographic Details
Title: Applied Machine Learning for Smart Data Analysis
Description: The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications
Authors: Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
Resource Type: eBook.
Subjects: Decision support systems, Electronic data processing, Data mining--Industrial applications, Machine learning--Industrial applications, Systems engineering--Data processing, Internet of things
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Internet of Things (IoT)
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 2028164
RelevancyScore: 943
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 943.441711425781
IllustrationInfo
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  Data: Applied Machine Learning for Smart Data Analysis
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  Data: The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications
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  Data: <searchLink fieldCode="AR" term="%22Nilanjan+Dey%22">Nilanjan Dey</searchLink><br /><searchLink fieldCode="AR" term="%22Sanjeev+Wagh%22">Sanjeev Wagh</searchLink><br /><searchLink fieldCode="AR" term="%22Parikshit+N%2E+Mahalle%22">Parikshit N. Mahalle</searchLink><br /><searchLink fieldCode="AR" term="%22Mohd%2E+Shafi+Pathan%22">Mohd. Shafi Pathan</searchLink>
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RecordInfo BibRecord:
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      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Data mining--Industrial applications
        Type: general
      – SubjectFull: Machine learning--Industrial applications
        Type: general
      – SubjectFull: Systems engineering--Data processing
        Type: general
      – SubjectFull: Internet of things
        Type: general
    Titles:
      – TitleFull: Applied Machine Learning for Smart Data Analysis
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Nilanjan Dey
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          Name:
            NameFull: Sanjeev Wagh
      – PersonEntity:
          Name:
            NameFull: Parikshit N. Mahalle
      – PersonEntity:
          Name:
            NameFull: Mohd. Shafi Pathan
      – PersonEntity:
          Name:
            NameFull: Nilanjan Dey
      – PersonEntity:
          Name:
            NameFull: Sanjeev Wagh
      – PersonEntity:
          Name:
            NameFull: Parikshit N. Mahalle
      – PersonEntity:
          Name:
            NameFull: Mohd. Shafi Pathan
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 29
              M: 05
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781138339798
            – Type: isbn-print
              Value: 9781032728858
            – Type: isbn-electronic
              Value: 9780429804564
            – Type: isbn-electronic
              Value: 9780429804571
            – Type: isbn-electronic
              Value: 9780429440953
          Titles:
            – TitleFull: Applied Machine Learning for Smart Data Analysis
              Type: main
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