04317nam a22006255i 4500 978-3-319-96553-6 DE-He213 20210218103305.0 cr nn 008mamaa 180712s2018 gw | s |||| 0|eng d 9783319965536 978-3-319-96553-6 10.1007/978-3-319-96553-6 doi QA76.9.D343 UNF bicssc COM021030 bisacsh UNF thema UYQE thema 006.312 23 Data Analytics and Management in Data Intensive Domains [electronic resource] : XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers / edited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin. 1st ed. 2018. Cham : Springer International Publishing : Imprint: Springer, 2018. XV, 281 p. 82 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Communications in Computer and Information Science, 1865-0929 ; 822 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. Data mining. Artificial intelligence. Database management. Mathematical logic. Natural language processing (Computer science). Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market-codes/I18030 Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000 Database Management. https://scigraph.springernature.com/ontologies/product-market-codes/I18024 Mathematical Logic and Formal Languages. https://scigraph.springernature.com/ontologies/product-market-codes/I16048 Natural Language Processing (NLP). https://scigraph.springernature.com/ontologies/product-market-codes/I21040 Kalinichenko, Leonid. editor. edt http://id.loc.gov/vocabulary/relators/edt Manolopoulos, Yannis. editor. edt http://id.loc.gov/vocabulary/relators/edt Malkov, Oleg. editor. edt http://id.loc.gov/vocabulary/relators/edt Skvortsov, Nikolay. editor. edt http://id.loc.gov/vocabulary/relators/edt Stupnikov, Sergey. editor. (orcid)0000-0003-4720-8215 https://orcid.org/0000-0003-4720-8215 edt http://id.loc.gov/vocabulary/relators/edt Sukhomlin, Vladimir. editor. (orcid)0000-0001-9468-7138 https://orcid.org/0000-0001-9468-7138 edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319965529 Printed edition: 9783319965543 Communications in Computer and Information Science, 1865-0929 ; 822 https://doi.org/10.1007/978-3-319-96553-6 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)