TY  - BOOK
AU  - Kalinichenko,Leonid
AU  - Manolopoulos,Yannis
AU  - Malkov,Oleg
AU  - Skvortsov,Nikolay
AU  - Stupnikov,Sergey
AU  - Sukhomlin,Vladimir
ED  - SpringerLink (Online service)
TI  - Data Analytics and Management in Data Intensive Domains: XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10-13, 2017, Revised Selected Papers 
T2  - Communications in Computer and Information Science,
SN  - 9783319965536
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Data mining
KW  - Artificial intelligence
KW  - Database management
KW  - Mathematical logic
KW  - Natural language processing (Computer science)
KW  - Data Mining and Knowledge Discovery
KW  - Artificial Intelligence
KW  - Database Management
KW  - Mathematical Logic and Formal Languages
KW  - Natural Language Processing (NLP)
N1  - Acceso multiusuario; 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-96553-6
ER  -