Data analytics and management in data intensive domains : XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised selected papers /

Data analytics and management in data intensive domains : XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised selected papers /

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Bibliographic Details
Meeting name:	International Conference on Data Analytics and Management in Data Intensive Domains (19th : 2017 : Moscow, Russia)
Imprint:	Cham, Switzerland : Springer, 2018.
Description:	1 online resource (xv, 281 pages) : illustrations
Language:	English
Series:	Communications in computer and information science, 1865-0929 ; 822 Communications in computer and information science ; 822.
Subject:	Management information systems -- Congresses. Knowledge management -- Congresses. Information technology -- Congresses. Information technology. Knowledge management. Management information systems. Electronic books. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11678827

Hidden Bibliographic Details
Varying Form of Title:	DAMDID/RCDL 2016
Other authors / contributors:	Kalinichenko, L. A. (Leonid Andreevich), editor. Manolopoulos, Yannis, 1957- editor. Malkov, Oleg, editor. Skvortsov, Nikolay, editor. Stupnikov, Sergey, editor. Sukhomlin, Vladimir, editor.
ISBN:	9783319965536 3319965530 9783319965529 3319965522
Digital file characteristics:	text file PDF
Notes:	Includes author index.
Summary:	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.
Other form:	Print version: International Conference on Data Analytics and Management in Data Intensive Domains (19th : 2017 : Moscow, Russia). Data analytics and management in data intensive domains. Cham, Switzerland : Springer, 2018 3319965522 9783319965529
Standard no.:	10.1007/978-3-319-96553-6 10.1007/978-3-319-96

Table of Contents:

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.