Data Analytics and Management in Data Intensive Domains

XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers

Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin (Herausgeber)

Buch | Softcover

XV, 281 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-96552-9 (ISBN)

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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.

Erscheinungsdatum	14.07.2018
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	XV, 281 p. 82 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	458 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Schlagworte	Applications • Artificial Intelligence • Big Data • classification • Cloud Computing • Computer Science • conference proceedings • Databases • Data handling • data integration • data intensive analysis • data intensive domains • Data Mining • data storage • Decision Support Systems • Informatics • Information Retrieval • machine learning • MapReduce • Ontologies • Research • Semantics • Software engineering • Support Vector Machines (SVM)
ISBN-10	3-319-96552-2 / 3319965522
ISBN-13	978-3-319-96552-9 / 9783319965529
Zustand	Neuware