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Autor(en): 
  • Kantardzic Mehmed
  • Data Mining: Concepts, Models, Methods, and Algorithms 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2019  
    Genre:  EDV / Informatik 
     
    characteristics of raw data / Computer Engineering / computer science / Computertechnik / Data Mining / Data Mining & Knowledge Discovery / Data Mining u. Knowledge Discovery / data reduction</p>
    ISBN:  9781119516040 
    EAN-Code: 
    9781119516040 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 155 mm / D 31 mm 
    Gewicht:  885 gr 
    Seiten:  672 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    PRESENTS THE LATEST TECHNIQUES FOR ANALYZING AND EXTRACTING INFORMATION FROM LARGE AMOUNTS OF DATA IN HIGH-DIMENSIONAL DATA SPACES The revised and updated third edition of??Data Mining??contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author-a noted expert on the topic-explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: * Explores big data and cloud computing * Examines deep learning * Includes information on convolutional neural networks (CNN) * Offers reinforcement learning * Contains semi-supervised learning and S3VM * Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
      



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