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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kalinichenko, Leonid (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Manolopoulos, Yannis (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Malkov, Oleg (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Skvortsov, Nikolay (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stupnikov, Sergey (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sukhomlin, Vladimir (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Communications in Computer and Information Science, 822
• Θέματα: Data mining.; Artificial intelligence.; Database management.; Mathematical logic.; Natural language processing (Computer science).; Data Mining and Knowledge Discovery.; Artificial Intelligence.; Database Management.; Mathematical Logic and Formal Languages.; Natural Language Processing (NLP).

 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 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.