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Herausgeber: 
  • Lech Polkowski
  • Yiyu Yao
  • Beata Zielosko
  • Dun Liu
  • Davide Ciucci
  • Piotr Artiemjew
  • Dominik ¿L¿Zak
  • Rough Sets: International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3¿7, 2017, Proceedings, Part II 
     

    (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:  Juni 2017  
    Genre:  EDV / Informatik 
     
    Application software / Artificial Intelligence / C / Computer and Information Systems Applications / computer science / Data Warehousing / Database Management / database programming / Databases / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Internet searching
    ISBN:  9783319608396 
    EAN-Code: 
    9783319608396 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #10314 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 33 mm 
    Gewicht:  908 gr 
    Seiten:  608 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017.

    The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).

      



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