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Autor(en): 
  • Gintautas Dzemyda
  • Olga Kurasova
  • Julius Žilinskas
  • Multidimensional Data Visualization: Methods and Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2014  
    Genre:  Schulbücher 
     
    Artificial Intelligence / B / Combinatorics & graph theory / Computer modelling & simulation / computer science / Computer simulation / Data and Information Visualization / Mathematical optimization
    ISBN:  9781489990006 
    EAN-Code: 
    9781489990006 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #75 - Springer Optimization and Its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  4044 gr 
    Seiten:  252 
    Illustration:  XII, 252 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The goal of this book is to present a variety of methods used  in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, nonlinear manifold learning,  and more. Many of the applications presented allow us to discover the obvious advantages of visual data mining-it is much easier for a decision maker to detect or extract useful information from graphical representation of data than from raw numbers.

    The fundamental idea of visualization is to provide data in some visual form that lets humans  understand them, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process; it covers data visualization and graphical presentation of information.

    Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve as a useful research supplement for PhD students in operations research, computer science, various fields of engineering,  as well as natural and social sciences.

      



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