Kalinichenko / Kuznetsov / Manolopoulos Data Analytics and Management in Data Intensive Domains

XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers
1. Auflage 2017
ISBN: 978-3-319-57135-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 706, 281 Seiten, eBook

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the 28
th
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.

Zielgruppe

Research

Autoren/Hrsg.

Kalinichenko, Leonid

Kuznetsov, Sergei O.

Manolopoulos, Yannis

Inhaltsverzeichnis

Semantic modeling in data intensive domains.- Knowledge and learning management.- Text mining.- Data infrastructures in astrophysics.- Data analysis.- Research infrastructures.- Position paper.