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
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- Yong Shi
- Submission to first decision (median)
- 43 days
- Downloads
- 201,623 (2023)
Latest articles
Journal updates
Journal information
- Electronic ISSN
- 2198-5812
- Print ISSN
- 2198-5804
- Abstracted and indexed in
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- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- INIS Atomindex
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- Wanfang
- Copyright information