Open Innovation in the Big Data Era With the MOVING Platform

Autor:	Michael Wiese, Ansgar Scherp, Angela Fessl, Chrysa Collyda, Franziska Günther, Peter Hasitschka, Iacopo Vagliano, Irina Bienia, Andrzej M. J. Skulimowski, Markel Vigo, Matthias Heinz, Annalouise Maas, Ahmed Saleh, Alfred Wertner, Vasileios Mezaris, Till Blume, Aitor Apaolaza, Sebastian Gottfried, Gert Breitfuss, Jasmin Kellermann, Thomas Köhler, Stefan Thalmann
Jazyk:	angličtina
Předmět:	0209 industrial biotechnology Exploit business.industry Computer science Information literacy Big data 02 engineering and technology Data science Training (civil) Computer Science Applications 020901 industrial engineering & automation Data visualization Hardware and Architecture Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing business Software Open innovation
Zdroj:	IEEE MultiMedia
ISSN:	1941-0166 1070-986X
DOI:	10.1109/mmul.2018.2873495
Popis:	The MOVING platform enables its users to improve their information literacy by training how to exploit data mining methods in their daily research tasks. Its novel integrated working and training environment supports the education of data-savvy information professionals and allows them to address the big data and open innovation challenges.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ac6175926fbe267f831108e0cb9f0ee Zobrazit plný text záznamu