View in EDS PDF Full Text ePub Full Text

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Saved in:
Bibliographic Details
Title: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Description: Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
Authors: Veljko Milutinović, Nenad Mitić, Aleksandar Kartelj, Miloš Kotlar
Resource Type: eBook.
Subjects: Algorithms, Data mining, Data flow computing, Machine learning
Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Machine Learning
Database: eBook Academic Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: e000xww
DbLabel: eBook Academic Collection (EBSCOhost)
An: 3190527
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3190527$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3190527$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Veljko+Milutinović%22">Veljko Milutinović</searchLink><br /><searchLink fieldCode="AR" term="%22Nenad+Mitić%22">Nenad Mitić</searchLink><br /><searchLink fieldCode="AR" term="%22Aleksandar+Kartelj%22">Aleksandar Kartelj</searchLink><br /><searchLink fieldCode="AR" term="%22Miloš+Kotlar%22">Miloš Kotlar</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Data+flow+computing%22">Data flow computing</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+Algorithms%22">COMPUTERS / Programming / Algorithms</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=e000xww&AN=3190527
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Data flow computing
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Veljko Milutinović
      – PersonEntity:
          Name:
            NameFull: Nenad Mitić
      – PersonEntity:
          Name:
            NameFull: Aleksandar Kartelj
      – PersonEntity:
          Name:
            NameFull: Miloš Kotlar
      – PersonEntity:
          Name:
            NameFull: Veljko Milutinović
      – PersonEntity:
          Name:
            NameFull: Nenad Mitić
      – PersonEntity:
          Name:
            NameFull: Aleksandar Kartelj
      – PersonEntity:
          Name:
            NameFull: Miloš Kotlar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 07
              M: 03
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781799883500
            – Type: isbn-electronic
              Value: 9781799883524
            – Type: isbn-electronic
              Value: 9781799883531
          Titles:
            – TitleFull: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
              Type: main
ResultId 1