Abstracting and Indexing
- J-Gate
- Google Scholar
- EBSCO Information Services
- Engineering Source
- Library and Information Science Source
- One Belt One Road Reference Source
- Scilit
- CrossRef
- Library of Congress
- WorldCat
The International Journal of Data Science and Analytics (JDSA) is a peer-reviewed academic journal that publishes original research, reviews, and applied studies in data science, artificial intelligence, and advanced analytics. It serves as a platform for researchers, practitioners, and industry experts to share insights, methodologies, and innovations that drive data-driven decision-making across disciplines.
Subjects covered include:
Big data management and architectures
Machine learning, deep learning, and artificial intelligence
Data mining and knowledge discovery
Statistical modeling and predictive analytics
Natural language processing and text analytics
Computer vision and image analytics
Data visualization and human–data interaction
Cloud computing and distributed data systems
Data ethics, governance, and privacy
Applications of data science in healthcare, finance, business, education, and government
JDSA emphasizes both theoretical and practical contributions, aiming to bridge academic research with real-world applications in the growing field of data science and analytics.