Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/30417
Title: | Advancing methods in big data capture, integration, classification and liberation | Authors: | Zdravevski, Eftim Pires, Ivan Miguel |
Issue Date: | 27-Apr-2023 | Publisher: | BioMed Central | Journal: | BMC Research Notes | Abstract: | This special issue focuses on the importance of advancing research techniques for managing and analyzing data in today’s data-rich landscape. In this editorial, we set the context and invite contributions for a BMC Collection of articles titled ‘Advancing methods in data capture, integration, classification and liberation’. The collection emphasizes the need for efficient ways to standardize, cleanse, integrate, enrich, and liberate data, highlighting recent advancements in research methods and industrial technologies that facilitate this. We invite researchers to submit their best work to the collection and to showcase the latest advancements and additions to research techniques. | URI: | http://hdl.handle.net/20.500.12188/30417 |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.