Data Analytics and Management in Data Intensive Domains
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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…mehr

Produktbeschreibung
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.
  • Produktdetails
  • Communications in Computer and Information Science .822
  • Verlag: Springer / Springer International Publishing / Springer, Berlin
  • Artikelnr. des Verlages: 978-3-319-96552-9
  • 1st ed. 2018
  • Erscheinungstermin: 13. Juli 2018
  • Englisch
  • Abmessung: 235mm x 155mm x 16mm
  • Gewicht: 458g
  • ISBN-13: 9783319965529
  • ISBN-10: 3319965522
  • Artikelnr.: 52931156
Inhaltsangabe
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.