Implementation of machine learning algorithms using control-flow and dataflow paradigms:

"This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms

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Bibliographische Detailangaben
Hauptverfasser: Milutinović, Veljko (VerfasserIn), Mitic, Nenad S. (VerfasserIn), Kartelj, Aleksandar Aleksej (VerfasserIn), Kotlar, Milos (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global 2022
Schlagworte:
Online-Zugang:DE-1050
DE-898
DE-1049
DE-91
DE-706
DE-83
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Zusammenfassung:"This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms
Beschreibung:Includes bibliographical references and index
Chapter 1. Introduction to data mining -- Chapter 2. Classification algorithms and control-flow implementation -- Chapter 3. Classification algorithms and dataflow implementation -- Chapter 4. Scientific applications of machine learning algorithms -- Chapter 5. Business and industrial applications of machine learning algorithms -- Chapter 6. Implementation details of neural networks using dataflow -- Chapter 7. Implementation details of decision tree algorithms using dataflow -- Chapter 8. Implementation details of rule-based algorithms using dataflow -- Chapter 9. Implementation details of density-based algorithms using dataflow -- Chapter 10. Issues related to acceleration of algorithms. - Mode of access: World Wide Web
Beschreibung:1 Online-Ressource (296 Seiten) illustrations
ISBN:9781799883524

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