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Titlebook: Data Analytics and Management in Data Intensive Domains; XIX International Co Leonid Kalinichenko,Yannis Manolopoulos,Vladimir S Conference

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https://doi.org/10.1007/978-3-319-22945-4ts have to be fit to its purpose. One basis of this systematic approach is model management and model reasoning. We claim that systematic data mining is nothing else than systematic modelling. The main notion is the notion of the model in a variety of forms, abstraction and associations among models.
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1865-0929 intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation..978-3-319-96552-9978-3-319-96553-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Civic Freedom in Central Europem solving the problems that the authors have encountered in the development of ontologies for such scientific subject areas as archeology, computer linguistics, system studies in power engineering, active seismology, etc.
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Development of Ontologies of Scientific Subject Domains Using Ontology Design Patternsm solving the problems that the authors have encountered in the development of ontologies for such scientific subject areas as archeology, computer linguistics, system studies in power engineering, active seismology, etc.
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Conference proceedings 2018/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: chall
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