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Data Analytics and Management in Data Intensive Domains = XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Analytics and Management in Data Intensive Domains/ edited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin.
其他題名:	XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers /
其他作者:	Kalinichenko, Leonid.
面頁冊數:	XV, 281 p. 82 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-319-96553-6
ISBN:	9783319965536

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 DomainsXIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers /[electronic resource] :edited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin. - 1st ed. 2018. - XV, 281 p. 82 illus.online resource. - Communications in Computer and Information Science,8221865-0929 ;. - Communications in Computer and Information Science,498.

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.

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.

ISBN: 9783319965536

Standard No.: 10.1007/978-3-319-96553-6doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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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