Annals of Data Science (AODS) is an academic journal focusing on Big Data analytics and applications. It not only promotes how to use interdisciplinary techniques, including statistics, artificial intelligence and optimization, to process Big Data and conduct data mining, but also how to use the knowledge gleaned from Big Data for real-life applications. AODS accepts high-quality contributions on the foundations of data science, technical papers on various challenging problems in Big Data and meaningful case studies concerning business analytics in the context of Big Data.
  • Publishes a broad range of cutting-edge research findings, experimental results and case studies of data science
  • Focuses on semi-structured and unstructured data analysis, Big Data modeling, Big Data mining, knowledge representation of Big Data
  • It is an official journal of International Academy of Information Technology and Quantitative Management (IAITQM)

Journal information

Editor-in-Chief
  • Yong Shi
Publishing model
Hybrid. Open Access options available

Journal metrics

165 days
Submission to first decision
153 days
Submission to acceptance
58,062 (2019)
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This journal has 16 open access articles

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About this journal

Electronic ISSN
2198-5812
Print ISSN
2198-5804
Abstracted and indexed in
  1. CNKI
  2. EBSCO Discovery Service
  3. Google Scholar
  4. INIS Atomindex
  5. Institute of Scientific and Technical Information of China
  6. Japanese Science and Technology Agency (JST)
  7. Naver
  8. OCLC WorldCat Discovery Service
  9. ProQuest ABI/INFORM
  10. ProQuest Advanced Technologies & Aerospace Database
  11. ProQuest Business Premium Collection
  12. ProQuest Central
  13. ProQuest SciTech Premium Collection
  14. ProQuest Technology Collection
  15. ProQuest-ExLibris Primo
  16. ProQuest-ExLibris Summon
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