Adapt current tools for handling big data
Year: 2014
Type: letter
Source: Nature
DOI: 10.1038/507306a
Author: Ervin Sejdić
Institution: University of Pittsburgh
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: closed
OpenAlex ID: W2017374559
