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Modern Technologies for Big Data Classification and Clustering

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Title: Modern Technologies for Big Data Classification and Clustering
Description: Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.
Authors: Hari Seetha, M. Narasimha Murty, B. K. Tripathy
Resource Type: eBook.
Subjects: Document clustering, Big data, Data mining, Classification--Nonbook materials, Cluster analysis
Categories: COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1084
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PubType: eBook
PubTypeId: ebook
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  Data: Modern Technologies for Big Data Classification and Clustering
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  Data: Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.
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  Data: <searchLink fieldCode="AR" term="%22Hari+Seetha%22">Hari Seetha</searchLink><br /><searchLink fieldCode="AR" term="%22M%2E+Narasimha+Murty%22">M. Narasimha Murty</searchLink><br /><searchLink fieldCode="AR" term="%22B%2E+K%2E+Tripathy%22">B. K. Tripathy</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Document+clustering%22">Document clustering</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Classification--Nonbook+materials%22">Classification--Nonbook materials</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis%22">Cluster analysis</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 005.7
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Document clustering
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Classification--Nonbook materials
        Type: general
      – SubjectFull: Cluster analysis
        Type: general
    Titles:
      – TitleFull: Modern Technologies for Big Data Classification and Clustering
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hari Seetha
      – PersonEntity:
          Name:
            NameFull: M. Narasimha Murty
      – PersonEntity:
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            NameFull: B. K. Tripathy
      – PersonEntity:
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            NameFull: Hari Seetha
      – PersonEntity:
          Name:
            NameFull: M. Narasimha Murty
      – PersonEntity:
          Name:
            NameFull: B. K. Tripathy
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2018
            – D: 21
              M: 07
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9781522528050
            – Type: isbn-electronic
              Value: 9781522528067
            – Type: isbn-electronic
              Value: 9781522528074
          Titles:
            – TitleFull: Modern Technologies for Big Data Classification and Clustering
              Type: main
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