American Journal of Database Theory and Application (AJDTA)

The American Journal of Database Theory and Application serves as an academic platform for disseminating high‑quality research that bridges fundamental database theory and emerging applications. The journal welcomes contributions covering a spectrum of topics such as relational and non‑relational database models, indexing and storage methods, query processing and optimization techniques, distributed and parallel data systems, big data analytics, data mining and knowledge discovery, database security and privacy, semantic databases, and applications of databases in areas like healthcare, multimedia, and mobile computing. By providing rigorous peer review and open access to its publications, the journal supports global exchange of innovative ideas and fosters advancements that contribute to more efficient, secure, and scalable data systems. Through its publications, researchers and practitioners gain insights into both theoretical challenges and practical solutions that enhance database performance, reliability, and functionality in complex computing environments.

American Journal of Database Theory and Application (AJDTA) is :-

• International, Peer-Reviewed, Open Access, Refereed, Data Mining and Information Extraction, Data Modeling and Architectures, Data Provenance, Data Quality, Data Security, Privacy and Trust, Data Streaming, Dynamic Data Mining, Heterogeneous Databases, Inference and Disclosure Control for Data Mining, Integration of Data Warehousing, Interactive and Online Mining, Intermittently Connected Data, KDD Process and Human Interaction, Mining Trends, Opportunities or Risks, Parallel and Distributed Data Mining, Physical Database Design and Performance Evaluation , Online or Print , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2326-0831, E-ISSN: 2326-0858, Established: 2013,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE