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Overview

Annals of Data Science is a scholarly journal focusing on Big Data analytics and applications.

  • Publishes a broad range of research findings, experimental results, and case studies in data science.
  • Promotes interdisciplinary techniques, including statistics, artificial intelligence, and optimization for Big Data processing and data mining.
  • Encourages application of knowledge derived from Big Data in real-life scenarios.
  • Focuses on semi-structured and unstructured data analysis, Big Data modeling, and Big Data mining.

Editor-in-Chief
  • Yong Shi
Submission to first decision (median)
45 days
Downloads
201,623 (2023)

Latest articles

Journal information

Electronic ISSN
2198-5812
Print ISSN
2198-5804
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. Dimensions
  6. EBSCO
  7. EI Compendex
  8. Google Scholar
  9. INIS Atomindex
  10. Japanese Science and Technology Agency (JST)
  11. Naver
  12. OCLC WorldCat Discovery Service
  13. Portico
  14. ProQuest
  15. SCImago
  16. SCOPUS
  17. TD Net Discovery Service
  18. Wanfang
Copyright information

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© Springer-Verlag GmbH Germany, part of Springer Nature

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