Data Analytics and Management in Data Intensive Domains

Data Analytics and Management in Data Intensive Domains

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

Manolopoulos, Yannis; Sukhomlin, Vladimir; Skvortsov, Nikolay; Malkov, Oleg; Stupnikov, Sergey; Kalinichenko, Leonid

Springer International Publishing AG

07/2018

281

Mole

Inglês

9783319965529

15 a 20 dias

462

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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.
artificial intelligence;big data;classification;cloud computing;data handling;data integration;data intensive analysis;data intensive domains;data mining;data storage;databases;decision support systems;information retrieval;machine learning;MapReduce;ontologies;semantics;software engineering;Support Vector Machines (SVM)