Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 822)
Conference series link(s): DAMDID/RCDL: International Conference on Data Analytics and Management in Data Intensive Domains
Conference proceedings info: DAMDID/RCDL 2017.
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Table of contents (19 papers)
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Heterogeneous Data Integration Issues
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Data Curation and Data Provenance Support
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Front Matter
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Temporal Summaries Generation
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Front Matter
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Back Matter
About this book
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.
Keywords
- 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)
Editors and Affiliations
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Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russia
Leonid Kalinichenko, Nikolay Skvortsov, Sergey Stupnikov
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Open University of Cyprus, Latsia, Cyprus
Yannis Manolopoulos
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Institute of Astronomy, Russian Academy of Sciences, Moscow, Russia
Oleg Malkov
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Moscow State University, Moscow, Russia
Vladimir Sukhomlin
Bibliographic Information
Book Title: Data Analytics and Management in Data Intensive Domains
Book Subtitle: XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers
Editors: Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-96553-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-96552-9Published: 13 July 2018
eBook ISBN: 978-3-319-96553-6Published: 12 July 2018
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XV, 281
Number of Illustrations: 82 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Database Management, Mathematical Logic and Formal Languages, Natural Language Processing (NLP)
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