Data Analytics and Management in Data Intensive Domains

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Details

This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.


Inhalt
Data Analytics.- Next Generation Genomic Sequencing: Challenges and Solutions.- Novel Approaches to Analyzing and Classifying of Various Astronomical Entities and Events.- Ontology Population in Data Intensive Domains.- Heterogeneous Data Integration Issues.- Data Curation and Data Provenance Support.- Temporal Summaries Generation.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319965529
    • Editor Leonid Kalinichenko, Yannis Manolopoulos, Vladimir Sukhomlin, Nikolay Skvortsov, Sergey Stupnikov, Oleg Malkov
    • Sprache Englisch
    • Auflage 1st edition 2018
    • Größe H235mm x B155mm x T17mm
    • Jahr 2018
    • EAN 9783319965529
    • Format Kartonierter Einband
    • ISBN 3319965522
    • Veröffentlichung 13.07.2018
    • Titel Data Analytics and Management in Data Intensive Domains
    • Untertitel XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised Selected Papers
    • Gewicht 458g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 300
    • Lesemotiv Verstehen
    • Genre Informatik

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