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Herausgeber: 
  • Aixin Sun
  • Wen-Chih Peng
  • Gao Cong
  • Wei Emma Zhang
  • Chengliang Li
  • Advanced Data Mining and Applications: 13th International Conference, ADMA 2017, Singapore, November 5¿6, 2017, Proceedings 
     

    (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:  Oktober 2017  
    Genre:  EDV / Informatik 
     
    Application software / Artificial Intelligence / C / Computer and Information Systems Applications / Computer Communication Networks / Computer communication systems / 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 / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / Network hardware
    ISBN:  9783319691787 
    EAN-Code: 
    9783319691787 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #10604 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 48 mm 
    Gewicht:  1334 gr 
    Seiten:  900 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos. 

      
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