Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/30417
DC FieldValueLanguage
dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorPires, Ivan Miguelen_US
dc.date.accessioned2024-06-05T12:43:45Z-
dc.date.available2024-06-05T12:43:45Z-
dc.date.issued2023-04-27-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/30417-
dc.description.abstractThis 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.en_US
dc.publisherBioMed Centralen_US
dc.relation.ispartofBMC Research Notesen_US
dc.titleAdvancing methods in big data capture, integration, classification and liberationen_US
dc.typeJournal Articleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Прикажи едноставен запис

Page view(s)

46
checked on 3.5.2025

Google ScholarTM

Проверете


Записите во DSpace се заштитени со авторски права, со сите права задржани, освен ако не е поинаку наведено.