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

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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Leonid Kalinichenko (Editore), Oleg Malkov (Editore), Yannis Manolopoulos (Editore), Nikolay Skvortsov (Editore), Sergey Stupnikov (Editore), Vladimir Sukhomlin (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 13.07.2018
• EAN: 9783319965529
• ISBN: 978-3-31-996552-9
• Pagine: 281
• Dimensioni: 156 mm x 237 mm x 17 mm
• Peso: 458 g
• Illustrazioni: XV, 281 p. 82 illus.
• Serie: Communications in Computer and Information Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; C, Künstliche Intelligenz, Software Engineering, Data Mining, Datenbanken, Artificial Intelligence, Natürliche Sprachen und maschinelle Übersetzung, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Database Management, database programming, Data Mining and Knowledge Discovery, Mathematical theory of computation, Mathematical logic, Expert systems / knowledge-based systems, Mathematical Logic and Formal Languages, Databases, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), Semantics, Formal Languages and Automata Theory, Support Vector Machines (SVM)