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Herausgeber: 
  • Yasuo Narukawa
  • Vicenç Torra
  • Guillermo Navarro-Arribas
  • Cristina Yañez
  • Modeling Decisions for Artificial Intelligence: 13th International Conference, MDAI 2016, Sant Julià de Lòria, Andorra, September 19-21, 2016. Proceed 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  September 2016  
    Genre:  EDV / Informatik 
     
    Application software / Artificial Intelligence / Automated Pattern Recognition / C / Computer and Information Systems Applications / computer science / Data Mining / Data Mining and Knowledge Discovery / Data Warehousing / Expert systems / knowledge-based systems / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Internet searching / Mathematical theory of computation / Numeric Computing / Numerical analysis / pattern recognition
    ISBN:  9783319456553 
    EAN-Code: 
    9783319456553 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #9880 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 18 mm 
    Gewicht:  499 gr 
    Seiten:  328 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the proceedings of the 13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016, held in Sant Julià de Lòria, Andorra, in September 2016. The 22 revised full papers presented together with three invited talks were carefully reviewed and selected from 36 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers address topics such as decision making, information fusion, social networks, data mining, and related subjects. Applications to data science and privacy technologies, as well as to real world problems are also discussed.

      
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