
Data Analytics and Management in Data Intensive Domains
XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised Selected Papers
Springer (Publisher)
Published on 13. July 2018
Book
Paperback/Softback
XV, 281 pages
978-3-319-96552-9 (ISBN)
Description
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.
More details
Series
Edition
2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
82 s/w Abbildungen
XV, 281 p. 82 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 17 mm
Weight
458 gr
ISBN-13
978-3-319-96552-9 (9783319965529)
DOI
10.1007/978-3-319-96553-6
Schweitzer Classification
Other editions
Additional editions

Leonid Kalinichenko | Yannis Manolopoulos | Oleg Malkov
Data Analytics and Management in Data Intensive Domains
XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised Selected Papers
E-Book
07/2018
Springer
€53.49
Available for download
Content
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.