Open Access
Applied Data Sciences
e-ISSN 0000-0000 (registering) | p-ISSN 0000-0000 (registering)
DOI
e-ISSN 0000-0000 (registering) | p-ISSN 0000-0000 (registering)
DOI
Applied Data Sciences is an international journal aims to publish and disseminate high-quality papers related to the aplication of data science and compouting methods in many areas such as: healthcare, economic, telecommunication, agricultural sector, etc. Topics include the application of statistical and computational approaches for analyzing massive and complex datasets.
Scope
The topics related to this following topic but are not limited to:
• Machine Learning
• Big data analytics
• Applied statistical learning
• Computational Statistics
• Bayesian Analysis
• Generalized Linear Model
• Time series and spatial analysis
• Actuarial and finance
Winalia Agwil, S.Si.,
M.Si.
Department of Statistics, Universitas Bengkulu, Indonesia
Google Scholar
Scopus ID
An issue is on production. A list of reviewers will be shown soon.
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Palu City 94225, Indonesia.
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All papers published in the journal are freely accessible immediately after publication. The papers are freely available to read, shared, and reproduced in any form with proper citation to the original work. Open access is a property of individual works and community standards that will enforce proper attribution and responsible use of the published work.
Publishing a paper in the journal is free. The journal do not take submission fees, editorial processing charges, article processing charges, page charges, or color charges.
The journal is licensed under the Creative Commons Attribution (CC BY) 4.0 International License.
The authors retain the copyright © of their published works. However, the published work of the
authors can be read, downloaded, shared, and cited with proper reference to the original work.
You may read this article for a better Understanding of Copyright.
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