Information Management and Big Data

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Details

This book constitutes the refereed proceedings of the 4th Annual International Symposium on Information Management and Big Data, SIMBig 2017, held in Lima, Peru, in September 2017. The 10 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers address issues such as Data Science, Big Data, Data Mining, Natural Language Processing, Text Mining, Information Retrieval, Machine Learning, Semantic Web, Ontologies, Web Mining, Knowledge Representation and Linked Open Data, Social Web and Web Science, Information Visualization.


Klappentext

This book constitutes the refereed proceedings of the 4th Annual International Symposium on Information Management and Big Data, SIMBig 2017, held in Lima, Peru, in September 2017. The 10 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers address issues such as Data Science, Big Data, Data Mining, Natural Language Processing, Text Mining, Information Retrieval, Machine Learning, Semantic Web, Ontologies, Web Mining, Knowledge Representation and Linked Open Data, Social Web and Web Science, Information Visualization.


Inhalt
Data Science.- Big Data.- Data Mining.- Natural Language Processing.- Text Mining.- Information Retrieval.- Machine Learning.- Semantic Web.- Ontologies.- Web Mining.- Knowledge Representation and Linked Open Data.- Social Web and Web Science.- Information Visualization.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319905952
    • Editor Hugo Alatrista-Salas, Juan Antonio Lossio-Ventura
    • Sprache Englisch
    • Auflage 1st edition 2018
    • Größe H235mm x B155mm x T10mm
    • Jahr 2018
    • EAN 9783319905952
    • Format Kartonierter Einband
    • ISBN 3319905953
    • Veröffentlichung 21.04.2018
    • Titel Information Management and Big Data
    • Untertitel 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers
    • Gewicht 260g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 164
    • Lesemotiv Verstehen
    • Genre Informatik

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