FOUNDATIONS OF DATA SCIENCE

eISSN: 2639-8001

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Journal Specifications

Indexed in the following public directories

  • Web of Science
  • SJR
Overview
  • Publisher
    AMER INST MATHEMATICAL SCIENCES-AIMS
  • Frequency
    Quarterly
General Details
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Topics Covered

Differential privacy
Bayesian inference
Machine learning
Data assimilation
Spectral clustering
Ensemble Kalman filter
Topological data analysis

Recently Published Papers

Year-wise Publication

FAQs

How frequently is the FOUNDATIONS OF DATA SCIENCE published? Faqs

FOUNDATIONS OF DATA SCIENCE is published Quarterly.

Who is the publisher of FOUNDATIONS OF DATA SCIENCE? Faqs

The publisher of FOUNDATIONS OF DATA SCIENCE is AMER INST MATHEMATICAL SCIENCES-AIMS.

How can I view the journal metrics of FOUNDATIONS OF DATA SCIENCE on editage? Faqs

For the FOUNDATIONS OF DATA SCIENCE metrics, please refer to the section above on the page.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Differential privacy, Bayesian inference, Machine learning, Data assimilation, Spectral clustering, Ensemble Kalman filter, Topological data analysis.

Why is it important to find the right journal for my research? Faqs

Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.

Can the choice of journal affect my academic career? Faqs

Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.

Is it advisable to target high-impact journals only? Faqs

While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.