Overview
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications in Computer and Information Science (CCIS, volume 706)
Included in the following conference series:
Conference proceedings info: DAMDID/RCDL 2017.
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About this book
This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.
The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.
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Keywords
Table of contents (19 papers)
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Semantic Modeling in Data Intensive Domains
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Knowledge and Learning Management
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Data Infrastructures in Astrophysics
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Data Analysis
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Data Analytics and Management in Data Intensive Domains
Editors and Affiliations
Bibliographic Information
Book Title: Data Analytics and Management in Data Intensive Domains
Book Subtitle: XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers
Editors: Leonid Kalinichenko, Sergei O. Kuznetsov, Yannis Manolopoulos
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-57135-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-57134-8Published: 23 April 2017
eBook ISBN: 978-3-319-57135-5Published: 20 April 2017
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XII, 281
Number of Illustrations: 64 b/w illustrations
Topics: Data Mining and Knowledge Discovery, User Interfaces and Human Computer Interaction, Natural Language Processing (NLP), Software Engineering, Natural Language Processing (NLP), Artificial Intelligence