Journals EPJ Data Science

Name
EPJ Data Science
Subjects
Computational mathematics
Computer science application
Modeling
Simulation
ISSN
2193-1127
Creative Commons
All articles published by the EPJ Data Science are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers.
Description
The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.
Impact Factor (2 years)
3.262
Publisher
Springer Nature
Journal Webpage
Journal type
Open Access

Journals Publications
(All)



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Issue DateTitleAuthor(s)
11-Dec-2016Applying Hidden Markov Models to Voting Advice ApplicationsAgathokleous, Marilena ; Tsapatsoulis, Nicolas